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This GitHub repository contains code for predicting the country destination of new Airbnb users using machine learning techniques on the "Airbnb New User Bookings" dataset from a Kaggle competition.
A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical history. Model is evaluated using the F1 Score.
Unlock the potential of agricultural production with innovative optimization techniques. Explore strategies, technologies, and practices to enhance crop yields, improve efficiency, and sustainably increase output. Revolutionize farming practices and cultivate a thriving agricultural ecosystem
ICC World Cup 2023 Predictions: Unleash the power of Machine Learning to foresee cricket match outcomes. Analyze team performance and player stats for strategic insights. Your go-to resource at the intersection of sports and cutting-edge analytics.
This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.