shervinea / mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
☆1,818Updated 4 years ago
Alternatives and similar repositories for mit-15-003-data-science-tools:
Users that are interested in mit-15-003-data-science-tools are comparing it to the libraries listed below
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆715Updated 4 years ago
- 50 scikit-learn tips☆1,727Updated 2 years ago
- Carefully curated resource links for data science in one place☆3,025Updated 7 months ago
- Efficient Python Tricks and Tools for Data Scientists☆1,453Updated this week
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆240Updated 4 years ago
- A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.☆5,126Updated 2 years ago
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,186Updated last year
- Data Visualization with Python☆430Updated 4 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆872Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆913Updated 2 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- Collection of useful data science topics along with articles, videos, and code☆4,078Updated 5 months ago
- ☆306Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,789Updated last year
- Python Feature Engineering Cookbook, published by Packt☆473Updated 2 years ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,005Updated 10 months ago
- Errata and code for Effective Pandas book☆361Updated 2 years ago
- A machine learning course using Python, Jupyter Notebooks, and OpenML☆834Updated this week
- Machine learning in Python with scikit-learn MOOC☆1,193Updated last week
- A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep☆3,932Updated 6 months ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Toturials coming with the "data science roadmap" picture.☆7,098Updated last month
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆753Updated 4 years ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,068Updated 2 months ago
- ☆2,564Updated 2 years ago
- A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn☆690Updated 4 years ago
- Data Science Tutorials☆533Updated last year
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,309Updated 2 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆415Updated 2 months ago