newtype0222

newtype0222

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

📢 Ready to learn! you will learn 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 some real problems such as predict house prices.

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A-Comprehensive-ML-Workflow-for-Regression-Methods

This is a comprehensive ML workflow for regression methods, I have tried to help Fans of Machine Learning with how to face machine learning regression problems. and I think it is a great opportunity for who want to learn machine learning workflow with python completely.

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alphalens

Performance analysis of predictive (alpha) stock factors

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Bet-on-Sibyl

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

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engsoccerdata

English and European soccer results 1871-2017

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feature-engineering-and-feature-selection

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

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ipython-soccer-predictions

Sample iPython notebook with soccer predictions

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pages

ecjang blog

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pybaseball

Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

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SickZil-Machine

Manga/Comics Translation Helper Tool

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SportsBook

A sports data scraping and analysis tool

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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