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$15 USD / hodinu
Pochází z BANGLADESH
naogaon, bangladesh
$15 USD / hodinu
Aktuálně je zde 2:19 odp.
Připojil se října 4, 2023
2 Doporučení

GdevDataSceince

@GdevDataSceince

monthly-level-four.svg
verified-v2.svg
 5,0 (27 recenze)
5,5
5,5
73%
73%
$15 USD / hodinu
Pochází z BANGLADESH
naogaon, bangladesh
$15 USD / hodinu
97 %
Úspěšně realizované projekty
100 %
V rámci rozpočtu
100 %
Včas
19 %
Poměr opětovného zaměstnání

Data Science|Full-Stack Developer|Scraping

Greetings. My name is Kishor G., and with over 14 years of extensive experience in Data Science, Python, Automated scraping, Power BI, Tableau Dashboard, Advanced Microsoft, and Network Administration, I have gained the expertise to provide work reporting Analyst services that are second to none. My skill set includes, but is not limited to: ***I am a Data Scientist and a professional responsible for extracting actionable insights and knowledge from large volumes of data. ::::Python ::::R/SPSS. :::: Data manipulation, data visualization, and data analysis. :::: Desktop Application (exe Application ) :::: Machine learning frameworks (e.g., sci-kit-learn, Autoencoder, TensorFlow, PyTorch). ::::Familiarity with databases and yolov8,SQL for data extraction. :::: Excellent problem-solving skills and critical thinking. Machine Learning (ML)/Deep Learning ::::Simulation ::::Natural Language ::::Linear Programming ::::Neural Networks ::::Natural Language Processing(NLP) *** "I'm a highly skilled administrative professional with a strong foundation in Cisco networking as a Cisco Certified CCNA ::::ERP software ::::Network Administration ::::OpenVPN ::::Router to configure ::::Web Hosting ***Full-Stack Developer ::::Website Management ::::Real time application ::::Chat GPT integration ::::Desktop Application (exe Application ) ::::MERN Stack ::::MERN ::::java Script ::::Visual Studio Mobile App Development -Flutter ***Database Development -Access, MySQL -PostgreSQL -Oracle -NoSQL ( MongoDB, DynamoDB ) -YOLO V5 ***Automated Cart and plot development ::::Power Automate ::::Dynamics ::::Open Cart ::::PowerApps ::::Chat Operation ***Automated scraping tool Web Scraping: Using Python Beautiful Soup, Selenium, Automation, API data instigation, Data and Image Extraction, Image extraction, and Data Processing. Connection to various data formats, such as CSV, JSON, XML, etc. ***Business Dashboard / Business Intelligence / ETL / Data Integration / Data Warehousing. :::: Power BI, Tableau, Looker Studio (Google Data Studio), Pentaho, Qlik View, Qlik Sense, Talend, Google Charts. :::: Connection to various data formats, such as CSV, JSON, XML, etc. :::: Advanced Array Formulas, Charts, Pivot Tables, Pivot Charts, Power Query, Mail Merge, VBA Macros, Email through Outlook and Gmail, Add-in, Customized Macros. *** I'm an Engineer expert on PCB and responsible for designing, developing, and maintaining printed circuit boards used in electronic devices and systems. :::: PCB design software (e.g., Altium, Eagle, KiCad) :::: Consider factors such as signal integrity, power distribution, thermal management, and manufacturability. :::: Electronic components, circuit design, and PCB manufacturing processes :::: Familiarity with PCB fabrication and assembly technologies. Athens time and will quickly answer your requests and inquiries! I love bringing on new clients and can't wait to show you how I can streamline your business today! Thanks, and have a great day!
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Portfolio

11913583
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
11840390
I am looking for a skilled Python developer with experience in deep learning and graph neural networks to assist in building a link prediction model. Key Project Details: - Outcome: The main goal of this project is to achieve accurate link prediction. Your model should be able to accurately predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph neural networks. - Link Prediction: A solid understanding of link prediction techniques and their applications in graph data. - Data Handling: Abilit
Python Deep Learning link prediction model.
I am looking for a skilled Python developer with experience in deep learning and graph neural networks to assist in building a link prediction model. Key Project Details: - Outcome: The main goal of this project is to achieve accurate link prediction. Your model should be able to accurately predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph neural networks. - Link Prediction: A solid understanding of link prediction techniques and their applications in graph data. - Data Handling: Abilit
Python Deep Learning link prediction model.
11840382
database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files. I am thinking of using Python and SQLite but I am open to other options.
Database desktop app Windows 10-11
database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files. I am thinking of using Python and SQLite but I am open to other options.
Database desktop app Windows 10-11
11748295
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
11698258
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
11678691
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
11913583
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
Regarding the model 1- model graphics 2- conf matrix 3 - model reports 4- acc and loss graph model results: 1- location (auto segmente) 2- variaty(automatic segmente) 3- full image 4- manually segmented images (I will send this on Friday - 5 days later) 5- I guess you could not segment from other images using json segmented images model types will be 3 pieces 1- squeeze 2-resnet 3- yolo (yolo has its own classification model) or a custom cnn
Images classification YOLO segmentation /SAM model
11840390
I am looking for a skilled Python developer with experience in deep learning and graph neural networks to assist in building a link prediction model. Key Project Details: - Outcome: The main goal of this project is to achieve accurate link prediction. Your model should be able to accurately predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph neural networks. - Link Prediction: A solid understanding of link prediction techniques and their applications in graph data. - Data Handling: Abilit
Python Deep Learning link prediction model.
I am looking for a skilled Python developer with experience in deep learning and graph neural networks to assist in building a link prediction model. Key Project Details: - Outcome: The main goal of this project is to achieve accurate link prediction. Your model should be able to accurately predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph neural networks. - Link Prediction: A solid understanding of link prediction techniques and their applications in graph data. - Data Handling: Abilit
Python Deep Learning link prediction model.
11840382
database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files. I am thinking of using Python and SQLite but I am open to other options.
Database desktop app Windows 10-11
database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files. I am thinking of using Python and SQLite but I am open to other options.
Database desktop app Windows 10-11
11748295
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to deliver on the specific project needs. Previous experiences working with audio datasets will be favorable. I look forward to your proposals.
Boost Accuracy of CNN/ConvLSTM Model
11698258
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is highly desirable.
Live Stock Data Platform Ml For Pattern Recognition
11678691
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab
Parllel coordinate plot .algorithms for training purposes of the machine learning models: Gradient Boosting, Support Vector Machine, Neural Network, Decision Tree, Random Forest, K-Nearest-Neighbors
Python Data Visualization with Matplotlib/google colab

Recenze

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Zobrazeno 1 - 5 z 27 recenzí
Filtrovat recenze podle:
5,0
$40,00 USD
Project for GdevDataSceince -- 2
Great skills. Very professional with his work.
Python
Data Processing
Excel
Machine Learning (ML)
+1 dalších
H
Pochází z Rohan J.
@Hans0524
•
před 2 dny
5,0
$125,00 CAD
Tableau Wizard for Health Reporting
Helped me build complex dashboard in Tableau. He's really skilled and technical in his domain. I strongly suggest him for any tableau or technical work. Thank you!
Data Processing
Excel
Database Administration
QlikView
Tableau
Avatar uživatele
Pochází z Andrew K.
@sherrkhan
•
před 29 dny
5,0
$220,00 USD
Python Deep Learning Prediction
GDev is efficient in his work. Has great knowledge about Data science, AI/ ML models. Could solve complex issues within the timeframe. Very accommodating with last minute changes and helps to better understand the code.
Python
Machine Learning (ML)
Neural Networks
Deep Learning
H
Pochází z Rohan J.
@Hans0524
•
před měsícem
5,0
€110,00 EUR
I am looking for scraping a airtable document
Good work - freelancer to recommend
Python
Web Scraping
Software Architecture
Data Mining
Airtable
Avatar uživatele
Pochází z Jerome M.
@jeromemaman
•
před měsícem
5,0
$400,00 USD
Project for GdevDataSceince -- 2
he's very kind, helpful and professional.
Python
Data Processing
Excel
Machine Learning (ML)
+1 dalších
C
Pochází z Arman A.
@code52
•
před měsícem

Zkušenosti

Database desktop app (Windows 10-11)

Freelancer.com
dub 2024 - Současnost
Database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files. I m thinking of using Python and SQLite but I am open to other options. The user would upload 4 different CSV files The files would be combined following a specific logic The user would fetch data from an ajax search box.

PCB DEASIGN

https://www.freelancer.com/u/GdevDataSceince
lis 2013 - Současnost
Enumerate the specific skills and proficiencies related to PCB work, such as PCB design software proficiency (e.g., Eagle, KiCad, Altium Designer), knowledge of manufacturing processes, familiarity with industry standards, and any specialized skills.

Dashboarding / Business Intelligence / Data Integration / Data Warehousing

https://www.freelancer.com/u/GdevDataSceince
dub 2013 - Současnost
Power BI, Tableau,Looker Studio (Google data Studio), Pentaho, Qlik View, Qlik Sense, Google Charts Connection to Various data formats CSV, JSON, XML, etc. Advanced Array Formulas, Charts, Pivot Tables, Pivot Charts, Power query, Mail Merge, VBA Macros, Email through Outlook and Gmail, Add-in, Customized Macros.

Vzdělání

PH.d in Data Science

Bangladesh University of Engineering and Technology, Bangladesh 2016 - 2021
(5 roků)

Ms in ETE

Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Bangladesh 2012 - 2014
(2 roky)

BSC in EEE

Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Bangladesh 2008 - 2012
(4 roky)

Kvalifikace

Cisco Network engineers

Cisco
2023
Strong foundation in Cisco networking as a Cisco Certified CCNA. My expertise extends to various IT domains, including MCSA, ERP software, MS36

Data Science

Bangladesh University of Engineering and Technology
2021
I am a Data Scientist is a professional responsible for extracting actionable insights and knowledge from large volumes of data. ::::Python or R. ::::Data manipulation, data visualization, and data analysis. ::::Machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

AutoCAD Designer

Bangladesh University of Engineering and Technology
2014
As a AutoCAD Drafter/Designer professional and responsible for creating precise technical drawings and plans using AutoCAD software. ::::AutoCAD software to create detailed 2D and 3D drawings, blueprints, and schematics. ::::Interpret design specifications, sketches, and instructions to generate accurate technical drawings. ::::Home design Floor design, café shop design,

Publikace

Database desktop app

freelancer
database desktop app (Windows 10-11) that would enable a user to fetch data from 4 different CSV files..

Automate the process of extracting data using Power Automate.

Power Automate
Automate the process of extracting data using Power Automate. Ideal skills and experience: - Proficiency in Power Automate and experience in automating data extraction processes. - Strong attention to detail to ensure accurate and reliable data extraction. - Ability to understand and translate specific requirements into an automated workflow.

Fix a flow chart for Microsoft Teams

Microsoft Teams
Fix a flow chart for Microsoft Teams. The current flow chart is not longer creating the template. Skills and Experience: - Experience with Microsoft Teams and flow chart creation. - Strong attention to detail to ensure accurate information. - Ability to troubleshoot and fix formatting issues. - Timely delivery within the specified deadline.

Python RNN & LSTM network

Google Colab
Python, RNNs, and Google Colab. The task involves utilizing the long short-term memory (LSTM) type of RNN on text data. The details of the project include: • Developing and implementing a LSTM network in Python using Google Colab. • Applying this LSTM network to text data to draw meaningful insights. • A strong understanding and prior experience with TensorFlow, PyTorch, or Keras is beneficial. • Preferably, the candidate should have a background in working with LSTMs on text data.

Python Sankey Chart Income Statements

Power BI
Power BI/Python or Plotly Dash Interactive Sankey Chart Income Statements Ideal Skills and Experience: - Advanced proficiency in Power BI, Python, or Plotly Dash - Experience in creating interactive Sankey charts - Ability to collect and integrate additional data into the chart

The code descriptions are pulled from an excel spread sheet and compile into a pdf report

Google Colab
The code descriptions are pulleprogrammer to develop a program that allows me to search for spec codes. The code descriptions will be pulled from an excel spreadsheet and compiled into a PDF report. Skills and Experience: -python - Experience with extracting data from excel spreadsheets - Knowledge of PDF generation and manipulation

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Excel 13
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Machine Learning (ML) 8
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