jlin1015 / Data-Science-Take-Home-ChallengesLinks
☆15Updated 6 years ago
Alternatives and similar repositories for Data-Science-Take-Home-Challenges
Users that are interested in Data-Science-Take-Home-Challenges are comparing it to the libraries listed below
Sorting:
- My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.☆78Updated 6 years ago
- A list of take home challenges for data science interviews I've compiled☆17Updated 7 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆24Updated 7 years ago
- Code repository for Building Machine Learning Systems with Python Third Edition, by Packt☆95Updated 3 years ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆116Updated 6 years ago
- Python Tips for Data Scientist☆27Updated 3 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Updated 5 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.☆10Updated 8 years ago
- Predicting Backorders in Inventory Mangement Context.☆23Updated 10 months ago
- Answers for all 153 database questions on LeetCode [Update on 2021/04/03]☆53Updated 4 years ago
- Data Analysis and Machine Learning with Python to Solve Business Problems. Implemented with different case studies☆11Updated 6 years ago
- Ensemble Machine Learning Cookbook, published by Packt☆60Updated 2 years ago
- Hands-On Recommendation Systems with Python published by Packt☆271Updated 2 years ago
- Credit Risk analysis by using Python and ML☆171Updated 8 years ago
- Learning pandas, Second Edition, published by Packt☆109Updated 4 years ago
- Repository of all the python codes for the Book : Practical Statistics for Data Scientists.☆25Updated 7 years ago
- Uber provided Data Science take home☆92Updated 9 years ago
- This is a A/B test project from Udacity.☆12Updated 5 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated 3 weeks ago
- This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information val…☆48Updated 3 years ago
- Feature Engineering Made Easy, published by Packt☆216Updated 2 years ago
- The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forec…☆26Updated 6 years ago
- ☆10Updated 8 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆36Updated 7 years ago
- Papers and Resources on running A/B Experiments☆91Updated 4 years ago
- This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…☆52Updated 9 years ago