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machine-learning-for-public-policy

machine-learning-from-theory-to-practice

This course will introduce the student to classic machine learning algorithms and deep neural network structures. The style will be first to describe the theory and math behind algorithms and then demonstrate how to use Python to create and run the models.

machine-learning-in-econometrics

Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"

machine-learning-in-economics

An introductory course on machine learning in economics

machine-learning-in-economics-and-finance

machine-learning-in-policy-evaluation-new-tools-for-causal-inference

This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new tools for causal inference"

machine-learning-in-python-book

Files for the book Getting Started in Machine Learning

machine-learning-in-r

4-hour tutorial on machine learning in R: knn, decision trees, random forest, boosting, superlearner

machine-learning-in-r-book

Files for the book ``Machine Learning for Hackers: R and Jupyter Notebooks"

machine-learning-in-social-sciences

Repository for the crash course on "Machine learning in social sciences"

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine-learning-r-tutorial

A tutorial of machine learning using R.

machine-learning-regression-python

machine-learning-stp598-spring-2018

Repo to keep track of work done in Dr. Robert McCulloch's Graduate Machine Learning course

machine-learning-summer-schools

Curated materials for different machine learning related summer schools

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-using-r

Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh

machine-learning-with-andrewng

Programming assignments for Coursera's Machine Learning Course.

machine-learning-with-python

Python codes for common Machine Learning Algorithms

machine-learning-with-python-1

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! This repository serves as an excellent introduction to implementing machine learning algorithms in depth such as linear and logistic regression, decision tree, random forest, SVM, Naive Bayes, KNN, K-Mean Cluster, PCA, Time Series Analysis and so on.

machine-learning-with-python-a-practical-introduction

IBM-EDX-dashboard course ID;ML0101EN

machine-learning-with-r

Data sets and R code for the examples from the book "Machine Learning with R" by Brett Lantz

machine-learning-with-r-1

This repository contains R tutorials on machine learning, data manipulation.

machine-learning-with-r-2

Machine Learning in R

machine-learning-with-r-cookbook

Code repository for Machine Learning with R Cookbook, published by Packt Publishing

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

machine-learning-with-r-second-edition

Machine Learning with R – Second Edition, Second Edition