Columbia-Intro-Data-Science / APMAE4990-Links
Introduction to Data Science in Industry
☆71Updated 6 years ago
Alternatives and similar repositories for APMAE4990-
Users that are interested in APMAE4990- are comparing it to the libraries listed below
Sorting:
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- ☆73Updated 6 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Course page for DS-GA 3001.001 Modeling Time Series Data☆43Updated 7 years ago
- ☆102Updated 6 years ago
- ☆38Updated 4 years ago
- Data Science Algorithms in a Week, published by Packt☆35Updated 2 years ago
- ☆39Updated 6 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆136Updated 7 years ago
- Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…☆184Updated last year
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Notebooks, worksheets and homework for STA 663 class☆43Updated 8 years ago
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆288Updated 7 years ago
- Resources for STA 633 class☆169Updated 8 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆33Updated 6 years ago
- Lecture content for UW Software Engineering for Data Scientists☆101Updated last year
- Code material for a data science tutorial☆197Updated 7 years ago
- Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…☆35Updated 4 years ago
- Uber provided Data Science take home☆92Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part I☆141Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- ☆107Updated 3 years ago
- Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data s…☆112Updated 5 years ago
- Jupyter Notebooks for https://datascience.quantecon.org☆44Updated 4 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- ☆31Updated 12 years ago
- Assets for data8.org☆111Updated 7 months ago