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10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices

autofeat icon autofeat

Linear Regression Model with Automated Feature Engineering and Selection Capabilities

awesome-pipeline icon awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

deeptoxic icon deeptoxic

top 1% solution to toxic comment classification challenge on Kaggle.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

feature-selector icon feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

featuretools-workshop icon featuretools-workshop

Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

generative-model-using-mnist icon generative-model-using-mnist

Generative and Discrimintive network defined in Keras' functional API, they can then be chained together to make a composite model for training end-to-end.

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