mjimcua

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Featuretools-DSx

Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.

text-analytics-python-improvements

This is a temporary repository for working on improvements for my book 'Text Analytics with Python'

deep-learning-cloud-gpu-setup-guide

Learn how to start using deep learning frameworks leveraging python, jupyter notebooks in the cloud using GPUs with a ready-reference guide

sklearn-benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

R-Google-Analytics

Scripts to start working with data from Google Analytics in R

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

at236x-deep-learning-explained

Workbooks for https://edX.org at236x course

How-To-Prevent-Scraping

The ultimate guide on preventing Website Scraping

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

MITx-6.00.1x

Coding exercises and Problem Sets for MITx: 6.00.1x Introduction to Computer Science and Programming Using Python, EdX, Aug-Nov 2016

MITx-6.00.2x

Coding exercises, Problem Sets, and lecture code for MITx: 6.00.2x Introduction to Computational Thinking and Data Science, EdX, March-May 2017

learning-social-media-analytics-with-r

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

tensorflow-gpu-install-ubuntu-16.04

Tensorflow GPU install instructions for ubuntu 16.04

deep-learning-nano-foundation

Udacity's Deep Learning Nano Foundation program.

Harvardx-PH526x

Solutions to Homework Exercises for Harvardx: PH526x Using Python for Research, EdX, Nov-Dec 2016

arm

My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill

shinyapps

Deploy Shiny applications to ShinyApps

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.

Installing-R-on-Windows

Guide to setting up R and RStudio on Windows

pythonforeverybodycoursera

My solutions for the Programming Assignments from Coursera's "Python for Everybody" Specialization

JavaScript-Code-Snipets

machine-learning-resources

This is a list of free resources to learn Machine Learning.

MIT6.00.1x-Introduction-to-Computer-Science-and-Programming-Using-Python

my notes for the homework

BerkeleyX-CS190.1x-Scalable-Machine-Learning

This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX

BerkeleyX-CS100.1x-Big-Data-with-Apache-Spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

stanford-statistical-learning-1

Notes and code of Coursera-like course on Statistical Learning from Stanford University

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.