Miguel Angel Jiménez Cuadrillero's repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
python-patterns
A collection of design patterns/idioms in Python
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
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.
github-cheat-sheet
A list of cool features of Git and GitHub.
frontend-dev-bookmarks
Manually curated collection of resources for frontend web developers.
REST-tutorial
Files for my REST API tutorials featuring a server written in Python and a web client written in Javascript.
pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
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!
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.
test
Test
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
ML-course
A machine learning course using Python, Jupyter Notebooks, and OpenML
docker-stacks
Opinionated stacks of ready-to-run Jupyter applications in Docker.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
An-Introduction-to-Statistical-Learning-with-Applications-in-R---python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Microsoft_DAT210x
Datasets and solutions for the Programming Assignments for the Microsoft DAT210X course, EdX, July-August 2016.
Algorithms
:computer: Data Structures and Algorithms in Python
STAT545-UBC.github.io
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
ipython-notebooks
A collection of IPython notebooks covering various topics.
jupyter
Jupyter metapackage for installation, docs and chat
labs
Rmd source files for the HarvardX series PH525x
penn-ml-benchmarks
A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
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.
statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
awesome-courses
:books: List of awesome university courses for learning Computer Science!
Coursera-Machine-Learning-python
Coursera Machine Learning - Python code