mjimcua

chatbot-sencillo-en-python

Ejemplo de charbot sencillo empleando NLP para seleccionar la respuesta

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

requests

A simple, yet elegant, HTTP library.

Data-Science--Cheat-Sheet

Cheat Sheets

python-flask-api

handle_imabalnce_class

Address imbalance classes in machine learning projects.

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Data-Science-with-Python

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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, Dask, Flink and DataFlow

DEEP-LEARNING-practical-introduction-with-Keras

DEEP-LEARNING-practical-introduction-with-Keras

azure-cosmos-python

🚨🚨🚨This SDK is now maintained at https://github.com/Azure/azure-sdk-for-python 🚨🚨🚨

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

at236x-deep-learning-explained

Workbooks for https://edX.org at236x course

deep-learning-nano-foundation

Udacity's Deep Learning Nano Foundation program.

labs

Rmd source files for the HarvardX series PH525x

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

feature-engineering-book

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

spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

Spark_Master_DS

Repo Spark and Scala

MasterDataScience

Repo del master de Data Science

github-cheat-sheet

A list of cool features of Git and GitHub.

gitbook

The open source frontend for GitBook doc sites

scikit-learn

scikit-learn: machine learning in Python

datasciencecoursera

This repo is specially created for all the work done my me as a part of Coursera's Data Science Specialization.