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/Algorithms
:computer: Data Structures and Algorithms in Python
mjimcua/An-Introduction-to-Statistical-Learning-with-Applications-in-R---python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
mjimcua/awesome-courses
:books: List of awesome university courses for learning Computer Science!
mjimcua/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
mjimcua/awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
mjimcua/complete-guide-to-deep-learning
This guide is for those who know some math, know some programming language and now want to dive deep into deep learning
mjimcua/Coursera-Machine-Learning-python
Coursera Machine Learning - Python code
mjimcua/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
mjimcua/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
mjimcua/docker-stacks
Opinionated stacks of ready-to-run Jupyter applications in Docker.
mjimcua/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
mjimcua/frontend-dev-bookmarks
Manually curated collection of resources for frontend web developers.
mjimcua/github-cheat-sheet
A list of cool features of Git and GitHub.
mjimcua/ipython-notebooks
A collection of IPython notebooks covering various topics.
mjimcua/jupyter
Jupyter metapackage for installation, docs and chat
mjimcua/labs
Rmd source files for the HarvardX series PH525x
mjimcua/Microsoft_DAT210x
Datasets and solutions for the Programming Assignments for the Microsoft DAT210X course, EdX, July-August 2016.
mjimcua/ML-course
A machine learning course using Python, Jupyter Notebooks, and OpenML
mjimcua/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
mjimcua/penn-ml-benchmarks
A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
mjimcua/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
mjimcua/python-for-developers
This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.
mjimcua/python-patterns
A collection of design patterns/idioms in Python
mjimcua/PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
mjimcua/REST-tutorial
Files for my REST API tutorials featuring a server written in Python and a web client written in Javascript.
mjimcua/stanford-statistical-learning
Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!
mjimcua/STAT545-UBC.github.io
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
mjimcua/statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
mjimcua/test
Test
mjimcua/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.