Pinned Repositories
Algorithms
:computer: Data Structures and Algorithms in Python
An-Introduction-to-Statistical-Learning-with-Applications-in-R---python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
at236x-deep-learning-explained
Workbooks for https://edX.org at236x course
awesome-courses
:books: List of awesome university courses for learning Computer Science!
Harvardx-PH526x
Solutions to Homework Exercises for Harvardx: PH526x Using Python for Research, EdX, Nov-Dec 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's Repositories
mjimcua/Harvardx-PH526x
Solutions to Homework Exercises for Harvardx: PH526x Using Python for Research, EdX, Nov-Dec 2016
mjimcua/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/arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
mjimcua/at236x-deep-learning-explained
Workbooks for https://edX.org at236x course
mjimcua/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
mjimcua/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
mjimcua/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
mjimcua/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
mjimcua/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.
mjimcua/datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
mjimcua/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
mjimcua/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
mjimcua/deep-learning-nano-foundation
Udacity's Deep Learning Nano Foundation program.
mjimcua/Featuretools-DSx
Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.
mjimcua/How-To-Prevent-Scraping
The ultimate guide on preventing Website Scraping
mjimcua/Installing-R-on-Windows
Guide to setting up R and RStudio on Windows
mjimcua/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
mjimcua/JavaScript-Code-Snipets
mjimcua/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
mjimcua/machine-learning-resources
This is a list of free resources to learn Machine Learning.
mjimcua/MIT6.00.1x-Introduction-to-Computer-Science-and-Programming-Using-Python
my notes for the homework
mjimcua/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
mjimcua/pythonforeverybodycoursera
My solutions for the Programming Assignments from Coursera's "Python for Everybody" Specialization
mjimcua/R-Google-Analytics
Scripts to start working with data from Google Analytics in R
mjimcua/shinyapps
Deploy Shiny applications to ShinyApps
mjimcua/sklearn-benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
mjimcua/sklearn_pycon2015
Materials for my Pycon 2015 scikit-learn tutorial.
mjimcua/stanford-statistical-learning-1
Notes and code of Coursera-like course on Statistical Learning from Stanford University
mjimcua/tensorflow-gpu-install-ubuntu-16.04
Tensorflow GPU install instructions for ubuntu 16.04
mjimcua/text-analytics-python-improvements
This is a temporary repository for working on improvements for my book 'Text Analytics with Python'