Miguel Angel Jiménez Cuadrillero's repositories
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Exploratory-Data-Analysis-with-Python
Exploratory Data Analysis with Python, Pandas, Numpy...
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
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.
machine_learning_datasets
Machine Learning Datasets
mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
mjimcua.github.io
About me
ml_helpers
Machine Learning helpers to create models
mlcourse.ai
Open Machine Learning Course
Principles-of-Machine-Learning-R
Principles of Machine Learning R
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
Research-Methods-for-Data-Science-with-Python
Research Methods for Data Science with Python
spark
Mirror of Apache Spark
SQL_helpers
Functions to work with SQL Server from python
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
visualization_helpers
Visualization functions
XCS224N-Handouts
Contains Lecture Notes and Suggested Readings for XCS224N
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow