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

• vasukumar92 / Machine-Learning-based-Supply-Chain-Demand-Forecast-for-a-Global-Pharmacy-Company
  The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forec…
  ☆24Updated 6 years ago
• pappakrishnan / Data-Science-Take-Home-Challenges
  A list of take home challenges for data science interviews I've compiled
  ☆17Updated 6 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• siddhujetty / Product-analytics-insights-collection
  My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
  ☆78Updated 5 years ago
• rodrigosantis1 / backorder_prediction
  Predicting Backorders in Inventory Mangement Context.
  ☆23Updated 6 months ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• pooji0401 / Root-Cause-Analysis
  Used Explanatory Data Analysis to identify the root causes for the delay in delivery in the supply chain management
  ☆13Updated 6 years ago
• prodigy803 / statistics-for-data-scientists-python
  Repository of all the python codes for the Book : Practical Statistics for Data Scientists.
  ☆25Updated 6 years ago
• forestshen / Case-Study-Data-Analysis-Machine-Learning-with-Python
  Data Analysis and Machine Learning with Python to Solve Business Problems. Implemented with different case studies
  ☆11Updated 6 years ago
• eliekawerk / DS-Take-Home
  My solution to the book A Collection of Data Science Take-Home Challenges
  ☆25Updated 6 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆299Updated 7 years ago
• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆108Updated last year
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• Apress / machine-learning-with-pyspark
  Source Code for 'Machine Learning with PySpark' by Pramod Singh
  ☆115Updated 6 years ago
• PacktPublishing / Building-Machine-Learning-Systems-with-Python-Third-edition
  Code repository for Building Machine Learning Systems with Python Third Edition, by Packt
  ☆95Updated 2 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• qalhata / Python-Scripts-Repo-on-Data-Science
  Data Science, Visualisations, and Machine Learning Cookbook
  ☆56Updated 2 years ago
• LangYujian / DataScience
  ☆10Updated 8 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 6 years ago
• AdityaGogoi / Notes-on-Python-for-Data-Analysis-2nd-Edition
  Notes made on the book Python for Data Analysis, 2nd Edition.
  ☆28Updated 6 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• runawayhorse001 / PythonTipsDS
  Python Tips for Data Scientist
  ☆26Updated 3 years ago
• hankkuang / creditRiskCScoreCard
  credit risk score card develop by python(version 3.6)
  ☆40Updated 7 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• nancyyanyu / machine_learning_study_notes
  Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…
  ☆14Updated 4 years ago
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆43Updated 4 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆35Updated 7 years ago