ilyakava / ISL
Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"
☆24Updated 10 years ago
Alternatives and similar repositories for ISL:
Users that are interested in ISL are comparing it to the libraries listed below
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be☆23Updated 10 years ago
- A browser based R Notebook☆125Updated 11 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆60Updated 2 years ago
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆190Updated 4 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- R package for exploratory data analysis☆118Updated 7 years ago
- Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017☆11Updated 7 years ago
- A collection of data science examples implemented across a variety of languages and libraries.☆33Updated 9 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆197Updated 8 years ago
- An interactive online reading of McElreath's Statistical Rethinking☆124Updated 6 years ago
- Very concise notes on machine learning and statistics.☆380Updated 12 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 8 years ago
- my public kaggle code☆79Updated 11 years ago
- A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012☆54Updated 11 years ago
- ☆24Updated 7 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆114Updated 8 years ago
- Website and material for the FIXME course on Practical Machine Learning☆90Updated 7 years ago
- Materials for Strata Singapore "Machine learning In Python with scikit-learn" tutorial.☆9Updated 9 years ago
- ☆77Updated 9 years ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 7 years ago
- Statistics lecture notes☆34Updated 8 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Tutorial Created for SciPy 2012☆58Updated 11 years ago