Harvard-IACS / 2020-CS109ALinks
☆115Updated 3 years ago
Alternatives and similar repositories for 2020-CS109A
Users that are interested in 2020-CS109A are comparing it to the libraries listed below
Sorting:
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated last week
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆337Updated last year
- An Introduction to Statistical Learning with Applications in PYTHON☆547Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆201Updated 3 years ago
- Pandas Cookbook Second Edition, published by Packt☆294Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆471Updated last week
- Fundamental Python workshop, proudly presented by the UCL Data Science Society☆47Updated 3 years ago
- Present your data as an effective and compelling story☆110Updated 5 years ago
- Introduction to scikit-learn: Machine Learning in Python☆20Updated 3 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆78Updated last year
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆105Updated 3 months ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)☆12Updated 2 years ago
- Errata and code for Effective Pandas book☆366Updated 2 years ago
- ☆47Updated 2 years ago
- Fundamentals of Statistics☆45Updated 4 years ago
- ECN 5090- Machine Learning in Economics and Finance (Python)☆81Updated 2 years ago
- Resources for Machine Learning Pocket Reference☆265Updated 3 years ago
- ☆110Updated 4 years ago
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 4 years ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated last week
- ☆151Updated 3 years ago
- Lesson material on data science and machine learning topics/concepts☆152Updated 4 years ago
- ☆139Updated 3 years ago
- Cracking the Data Science Interview☆359Updated 5 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆91Updated last year
- This is the course repository for w241 and 290 -- Experiments and Causality.☆17Updated 4 years ago