TZstatsADS / ADS_TeachingLinks
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).
☆185Updated last year
Alternatives and similar repositories for ADS_Teaching
Users that are interested in ADS_Teaching are comparing it to the libraries listed below
Sorting:
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- ☆110Updated 4 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆261Updated 7 years ago
- Uber provided Data Science take home☆92Updated 9 years ago
- An Introduction to Statistical Learning with Applications in R☆60Updated 10 years ago
- This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…☆50Updated 8 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆206Updated 4 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆33Updated 6 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆292Updated 7 years ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆75Updated 2 weeks ago
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated last month
- ☆78Updated last year
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆279Updated 8 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 5 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more☆403Updated 6 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆979Updated 2 years ago
- ☆22Updated 6 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 3 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
- The material presented here is for the 4-week summer course Network Analysis I in Summer, 2017 for the Inter-university Consortium for Po…☆40Updated 8 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- Introduction to Data Science in Industry☆74Updated 6 years ago
- My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.☆78Updated 5 years ago
- Repository for the GR5242 course☆16Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictiv…☆62Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 3 months ago
- Porting the R code in ISL to python. Labs and exercises☆200Updated 3 years ago
- Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.☆45Updated 7 years ago