marcotav/supervised-machine-learning
This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.
This project helps data analysts and business strategists develop predictive models for various real-world scenarios. It takes in structured datasets covering things like social media posts, customer behavior, sports statistics, or sales data, and outputs insights and predictions on outcomes like customer churn, ad click-through rates, or optimal store locations. It's for anyone who needs to understand patterns in their data to make informed business or strategic decisions.
No commits in the last 6 months.
Use this if you need to predict outcomes, identify key factors influencing results, or recommend strategic actions based on historical data.
Not ideal if you're looking for real-time operational systems or advanced deep learning architectures for unstructured data like images or complex text.
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Last pushed
Feb 26, 2020
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