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awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

categoricalanalysis

Analysis of Categorical Encodings for dense Decision Trees

code_snippets

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cookbook

The Data Engineering Cookbook

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

dat210x

Programming with Python for Data Science Microsoft

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-from-scratch

code for Data Science From Scratch book

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

dataanalysis

Data Analysis examples

datasets

A collection of datasets of ML problem solving

datawrangling

The ultimate reference guide to data wrangling with Python and R

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

designing.ggplots

Install Workshop Materials for Designing ggplots

fcmlcode

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

gitignore

A collection of useful .gitignore templates

high-school-guide-to-machine-learning

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one.

iml

iml: interpretable machine learning R package

interactive_tools

Interactive Tools: Machine Learning, Deep Learning, Math, and related fields

interpretable-ml-book

Book about interpretable machine learning

introduction-to-python-for-computational-science-and-engineering

Book: Introduction to Python for Computational Science and Engineering

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

knn-dashboard-shiny-plotly

knn dashboard using Shiny and Plotly for UCI heart disease repository (https://archive.ics.uci.edu/ml/datasets/Heart+Disease)

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz