Find Jobs
Hire Freelancers

Pandas Data Analysis

$10-30 CAD

Probíhající
Zveřejněno přibližně před 2 roky

$10-30 CAD

Zaplaceno při doručení
To complete data analysis on given dataframe Required tools: Anaconda - Jupyter Notebook To do: Apply data cleansing techniques to your dataframe Apply inferential statistical methods Build a basic predictive model and draw insights
IČ projektu: 33277697

O projektu

8 nabídky
Vzdálený projekt
Aktivní před 2 roky

Chcete si vydělat nějaké peníze?

Výhody podávání nabídek na Freelancer

Stanovte si rozpočet a časový rámec
Získejte za svou práci zaplaceno
Načrtněte svůj návrh
Registrace a podávání nabídek je zdarma
Uděleno:
Avatar uživatele
Hi. Your request is just my job, so it will be done successfully in time. The main point is your decision. I wish help to realize your idea, it would be my pleasure.
$50 CAD v 7 dnech
4,9 (29 recenze)
5,2
5,2
8 freelanceři nabízejí v průměru $25 CAD za tuto práci
Avatar uživatele
EXPERT IN PYTHON Hello there, I can help you in python projects, numpy, scikit-learn, pandas, matplotlib, analysis of data, Data visualization, correlation and regression, machine learning, python script, and related fields in python, please message me, I am available right away to help you Regards Wyclife
$20 CAD v 7 dnech
4,9 (80 recenze)
6,2
6,2
Avatar uživatele
Hello, I have read and understood the requirements of your project which is similar to one of my previous projects. Being an experienced data specialist, this can be done in a few days. Let us discuss the project details and deadline to get started. Best Regards.
$30 CAD v 1 dni
4,5 (9 recenze)
4,4
4,4
Avatar uživatele
Hello, I understand that you have a data set and you wnat to draw insights about this data using inferitial statistics and predictive models after applying some preprocessing. Regarding the dataset, what is the data set size? Which field is the data related to? What are you looking for in this data? What kind of model you want to build? My approach to data analysis projects is as follows: 1- Apply preprocessing 2- Ask the right questions ( in collaboration with the client) to get to the desired insights. 3- Apply Exploratory data analysis 4- Answering the asked questions. 5- perform statistical tests to see if it supports the results 6- build predictive model (if requested by the clients which is the case) 7- communicate the findings with the client and reiterate the process ( if needed). I have 2 years of experience working with data analysis tools in python which includes ( pandas, numpy, matplotlib, seaborn, and plotly) as will as date science tools such as ( scikit-learn, and TuriCreate) I have done many data analysis projects in udacity nanodegree for data analysis as will as building variety of machine learning models. Regarding the cost and delivery time thw value provided is an approximate as I cannot give an exact number till the above questions is answered. Happy to chat some time for further details.
$15 CAD v 2 dnech
0,0 (0 recenze)
0,0
0,0
Avatar uživatele
Hi Thanks for your project I have the experience to do your project. I can do cleaning task for dataframe using pandas. The statistical analysis can be handled properly. After the negotiations, all your requirements can be done perfectly. Regards
$25 CAD v 7 dnech
0,0 (0 recenze)
0,0
0,0
Avatar uživatele
Hello! I'm a professional data analyst specializing in R and Python. I can do this job immediately. Please contact me! Regards, MT
$29 CAD v 1 dni
0,0 (0 recenze)
0,0
0,0

O klientovi

Pochází z CANADA
Markham, Canada
0,0
0
Ověřená platební metoda
Členem od bře 22, 2022

Ověření klienta

Díky! Poslali jsme vám e-mailem odkaz pro získání kreditu zdarma.
Při odesílání e-mailu se něco pokazilo. Zkuste to prosím znovu.
Registrovaných uživatelů Zveřejněných projektů
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Načítání náhledu
Bylo uděleno povolení ke geolokaci.
Vaše doba přihlášení vypršela a byli jste odhlášeni. Přihlaste se znovu.