Alternatives and similar repositories for data-interview-questions

Users that are interested in data-interview-questions are comparing it to the libraries listed below

• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 4 years ago
• arapfaik / scraping-glassdoor-selenium
  Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"
  ☆96Updated 2 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 5 years ago
• francescodisalvo05 / 66DaysOfData
  #66DaysOfData challenge in Financial Machine Learning and NLP
  ☆24Updated 4 months ago
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆185Updated 2 years ago
• MMBazel / Springboard-DataScienceTrack-Student
  Springboard Program: Data Science Career Track - NLP
  ☆150Updated 4 years ago
• renatofillinich / ab_test_guide_in_python
  ☆99Updated 3 years ago
• kaburelabs / Datacamp-Courses
  Some of my notebooks of Datacamp courses.
  ☆132Updated 5 years ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 4 years ago
• piyushpathak03 / cracking-the-data-science-interview-in-7-days
  ☆131Updated 3 years ago
• melvfnz / data_science_portfolio
  Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
  ☆82Updated 7 years ago
• Suwarti / Customer-Segmentation
  ☆63Updated 4 years ago
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆69Updated 3 years ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆54Updated last month
• Imperial-College-Data-Science-Society / Cracking-the-Data-Science-Interview
  A list of resources for our society members who have upcoming interviews!
  ☆95Updated 9 months ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• jonkrohn / yt-channels-DS-AI-ML-CS
  A comprehensive list of YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programm…
  ☆17Updated 4 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆186Updated 11 months ago
• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆42Updated 5 years ago
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆66Updated 3 years ago
• DerekKane / Use-Cases-Data-Science
  A list of working examples of Data Science Use Cases and Applications by Industry
  ☆64Updated 5 years ago
• ThinamXx / 66Days__NaturalLanguageProcessing
  I am sharing my Journey of 66DaysofData in Natural Language Processing.
  ☆189Updated 2 years ago
• suneelpatel / Statistics-for-Data-Science-using-Python
  Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…
  ☆45Updated 6 years ago
• springboard-curriculum / awesome-springboard-capstones
  Place for collecting great projects/capstones from previous springboard students.
  ☆54Updated 4 years ago
• LeihuaYe / Python_LeetCode_Coding
  ☆71Updated 11 months ago
• khuyentran1401 / Python-data-science-code-snippet
  Useful data science and Python code snippets at Data Science Simplified
  ☆72Updated 4 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆146Updated 7 months ago
• sundarramamurthy / pyspark
  A quick reference guide to the most commonly used patterns and functions in PySpark SQL
  ☆55Updated 3 years ago
• IvanReznikov / mdx-msc-data-science
  Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
  ☆80Updated 2 years ago