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The "Python Machine Learning (2nd edition)" book code repository and info resource

The blog post about Kubeflow, including all materials

Introduction to pandas Treehouse course

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Quiz & Assignment of Coursera

brief introduction to Python for machine learning

ML.NET Workshop to predict car sales prices

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

Developer Cheatsheets

A Julia machine learning framework

Python Helper library for Jupyter Notebooks

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Talks & Workshops by the CODAIT team

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

I will update this repository to learn Machine learning with python with statistics content and materials

Resources for weekly Data Science Lunch & Learns

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

MRI analysis using PyTorch and MedicalTorch

🎓 Jupyter notebooks from UFC data science course

Best Practices, code samples, and documentation for Computer Vision.

ETL with Python - Taught at DWH course 2017 (TAU)

Word2Vec models with Twitter data using Spark. Blog:

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Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

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

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Source material for Python Like You Mean it

The Hitchhiker's Guide to Data Science for Social Good

Koç University deep learning framework.

Templates for jupyter notebooks

GitHub Action for repo2docker

Malware Data Science Reading Diary / Notes

Tutorials and training material for the H2O Machine Learning Platform

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

R package to interface with OpenML

DLTK Model Zoo

Datasets, tools, and benchmarks for representation learning of code.

Yet another black-box optimization library for Python

Best Practices on Recommendation Systems

The "Python Machine Learning (1st edition)" book code repository and info resource

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Road to Machine Learning

General Assembly's 2015 Data Science course in Washington, DC

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Machine learning fundamentals lesson in interactive notebooks

repo for code published on pythondata.com

Griffon Data Science Virtual Machine

Achieve your marketing goals with the data analytics power of Python

Machine learning contest - October 2016 TLE

Lending Club Loan data analysis

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

YouTube Like Count Predictions using Machine Learning

Data augmentation for NLP

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.