Harvard-IACS / 2018-CS109ALinks
Repository for CS109A Fall 2018
☆150Updated 5 years ago
Alternatives and similar repositories for 2018-CS109A
Users that are interested in 2018-CS109A are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆313Updated 5 years ago
- ☆87Updated 3 years ago
- Harvard CS109b Public Repository☆238Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- ☆62Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆283Updated 9 years ago
- Public Repository for cs109a, 2017 edition☆327Updated 2 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆757Updated 5 years ago
- ☆214Updated 4 years ago
- Public Repository for Traffic Cruising DSSG 2017 Project☆132Updated 2 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 3 years ago
- ☆35Updated 8 years ago
- An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.☆298Updated 7 years ago
- Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…☆35Updated 5 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆545Updated 6 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆422Updated 3 months ago
- Deep Learning Workshop for Data Science Go Virtual Event Summer 2020☆37Updated 3 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 7 years ago
- A complete daily plan for studying to become a machine learning engineer.☆53Updated 9 years ago
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Open Data Science Conference East, 2018: Data Science with Missing Data☆65Updated 7 years ago
- Youtube tutorial associated content☆127Updated 6 years ago
- This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE]…☆160Updated 5 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- Tools and tests used in Kaggle Learn exercises☆495Updated 5 months ago