data-8 / materials-fa20Links
DO NOT EDIT THE CONTENTS OF THIS REPO DIRECTLY! Publicly available materials that are used in the Data 8 Foundations of Data Science course during the Fall 2020 semester. Generated by data-8/assignments (private).
☆20Updated last year
Alternatives and similar repositories for materials-fa20
Users that are interested in materials-fa20 are comparing it to the libraries listed below
Sorting:
- A CS degree with a focus on full-stack ML engineering, 2020☆891Updated 4 years ago
- ☆211Updated 3 years ago
- Fall 2020 Public Materials and Website☆13Updated 5 months ago
- The repository is to document skills that a data scientist needs to acquire☆19Updated 5 months ago
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆35Updated last year
- The textbook Computational and Inferential Thinking: The Foundations of Data Science☆897Updated this week
- An Introduction to Statistical Learning with Applications in PYTHON☆557Updated 4 years ago
- Learning Data Science, a textbook.☆266Updated 6 months ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆908Updated 4 years ago
- Repo for Statistical Learning course offered by Stanford University☆50Updated 6 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆211Updated 2 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆271Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- ☆84Updated 5 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆424Updated 4 months ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆136Updated 3 years ago
- ☆121Updated 3 years ago
- CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)☆444Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆758Updated 5 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆346Updated last year
- A comprehensive list of YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programm…☆18Updated 4 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆94Updated 2 years ago
- CS229 Solution (summer 2019, 2020).☆17Updated 2 years ago
- MIT CS 6.042 opencourseware Fall 2010 problems + solutions☆298Updated 8 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- ☆139Updated last year
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆450Updated last year
- Source code and solution to CMU 15-213☆141Updated last year
- Source code for supplementary resources to accompany lectures☆30Updated last week
- Collection of notes and resources I created for some of the classes I took at CMU.☆14Updated 4 years ago