An open source book to learn data science, data analysis and machine learning, suitable for all ages!
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Updated
Apr 14, 2024 - TeX
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Introduction to Statistical Learning with R을 Python으로
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
YouTube Like Count Predictions using Machine Learning
Papers and datasets for Vibration Analysis
Tutorial to deploy a ML Model to Heroku with Flask web application.
Flask based web app to diagnose the patient using Python3
Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)
Predicting customer churn using scikit-learn
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
A command line tool to predict the like count of a YouTube video.
Data Mining project 2020/2021 @ University of Pisa
Toolbox for analysis of model's quality and model's description. For further details see
Predictive analysis of gentrification and displacement on the basis of geo-tagged tweets based metrics.
A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, energy use, land use, etc., provided by the World Bank.
Simple program to predict results of the Spanish football league (La Liga)
Pharmaceutical Sales prediction across multiple stores. End-to-end product that delivers this prediction using Flask.
Bayesian Information Gap Decision Theory
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