mjimcua Goto Github PK

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature_engineering_helpers

Helper functions to work with features

featuretools-dsx

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

frontend-dev-bookmarks

Manually curated collection of resources for frontend web developers.

general_handouts

github-cheat-sheet

A list of cool features of Git and GitHub.

harvardx-ph526x

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

how-to-prevent-scraping

The ultimate guide on preventing Website Scraping

installing-r-on-windows

Guide to setting up R and RStudio on Windows

introduction_to_ml_with_python

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

ipython-notebooks

A collection of IPython notebooks covering various topics.

javascript-code-snipets

jupyter

Jupyter metapackage for installation, docs and chat

labs

Rmd source files for the HarvardX series PH525x

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

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

logging_helpers

machine-learning-resources

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

machine_learning_datasets

Machine Learning Datasets

microsoft_dat210x

Datasets and solutions for the Programming Assignments for the Microsoft DAT210X course, EdX, July-August 2016.

mining-massive-datasets

Coursera: Mining Massive Datasets (Sep 2014)

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

mit6.00.1x-introduction-to-computer-science-and-programming-using-python

my notes for the homework

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

mjimcua.github.io

About me

ml-course

A machine learning course using Python, Jupyter Notebooks, and OpenML

ml_helpers

Machine Learning helpers to create models

mlcourse.ai

Open Machine Learning Course

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.