My solution to the book A Collection of Data Science Take-Home Challenges

Overview

DS-Take-Home

Solution to the book "A Collection of Data Science Take-Home Challenges".

Note:

Please don't contact me for the dataset.

This repository is only for self-learning purpose. I am really happy if my solution is helpful to you. However, I won't provide the original book or the data files. If you want to do the exercise, you can go to https://datamasked.com/ to purchase the book. Please respect the author of the original work.

  1. Conversion Rate
  2. Spanish Translation A/B Test
  3. Employee Retention
  4. Identifying Fraudulent Activities
  5. Funnel Analysis
  6. Pricing Test
  7. Marketing Email Campaign
  8. Song Challenge
  9. Clustering Grocery Items
  10. Credit Card Transactions
  11. User Referral Program
  12. Loan Granting
  13. Json City Similarities
  14. Optimization of Employee Shuttle Stops
  15. Diversity in the Workplace
  16. URL Parsing Challenge
  17. Engagement Test
  18. On-Line Video Challenge
  19. Subscription Retention Rate
  20. Ads Analysis

Other useful resource: https://github.com/stasi009/TakeHomeDataChallenges

Copyright @ Jifu Zhao 2018

Owner
Jifu Zhao
PhD ๐Ÿ‘จ๐Ÿปโ€๐ŸŽ“ in Engineering. Data Science, Machine Learning, and Deep Learning Enthusiast ๐Ÿณ.
Jifu Zhao
LynxKite: a complete graph data science platform for very large graphs and other datasets.

LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.

124 Dec 14, 2022
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext

Benedek Rozemberczki 1.8k Jan 09, 2023
A data parser for the internal syncing data format used by Fog of World.

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data struc

Zed(Zijun) Chen 40 Dec 12, 2022
Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

Raphael Vallat 1.2k Dec 31, 2022
Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

statsmodels 8k Dec 29, 2022
follow-analyzer helps GitHub users analyze their following and followers relationship

follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta

Yin-Chiuan Chen 2 May 02, 2022
yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data.

The yt Project yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. yt supports structured, varia

The yt project 367 Dec 25, 2022
HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays o

HyperSpy 411 Dec 27, 2022
Validation and inference over LinkML instance data using souffle

Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data

Linked data Modeling Language 7 Aug 07, 2022
Yet Another Workflow Parser for SecurityHub

YAWPS Yet Another Workflow Parser for SecurityHub "Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license,

myoung34 8 Dec 22, 2022
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 07, 2023
Weather Image Recognition - Python weather application using series of data

Weather Image Recognition - Python weather application using series of data

Kushal Shingote 1 Feb 04, 2022
๐Ÿงช Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.

๐Ÿงช๐Ÿ“ˆ ๐Ÿ. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python a

Marc Skov Madsen 97 Dec 08, 2022
SparseLasso: Sparse Solutions for the Lasso

SparseLasso: Sparse Solutions for the Lasso Introduction SparseLasso provides a Scikit-Learn based estimation of the Lasso with cross-validation tunin

Gabriel Okasa 1 Nov 08, 2021
pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

Joseph Wong 182 Nov 11, 2022
Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The

Mathis HAMMEL 29 Oct 18, 2022
General Assembly's 2015 Data Science course in Washington, DC

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

Kevin Markham 1.6k Jan 07, 2023
Toolchest provides APIs for scientific and bioinformatic data analysis.

Toolchest Python Client Toolchest provides APIs for scientific and bioinformatic data analysis. It allows you to abstract away the costliness of runni

Toolchest 11 Jun 30, 2022
Exploring the Top ML and DL GitHub Repositories

This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.

Nico Van den Hooff 17 Aug 21, 2022