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combo

A Python Toolbox for Machine Learning Model Combination

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

curso-docker

data_cleaning_workshop

Created the contents of this repo originally for a workshop I gave at UCLA

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

desafiobbcpuafetiva

fastai-laboratory

fastai-v3

Starter app for fastai v3 model deployment on Render

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hyperlearn

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

iso-3166-countries-with-regional-codes

ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets

ml_classificacao_por_tras_dos_panos

Curso Alura, introduzindo os primeiros e principais conceitos de Machine Learning, para você entrar de vez nesse mundo dos dados.

myprojects

notebooks_tutoriais

Aqui você encontrar notebooks para alguns vídeos do meu canal no Youtube

oh-my-zsh

A delightful community-driven (with 1,200+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

sklearn_tutorial

Materials for my scikit-learn tutorial

tutorialsandcourses

My tutorials and courses files

udemy-feml-challenge

workshop_shopee

This materials is for Workshop Shopee on 22nd February 2020 about Data Science Learning