Pong with Pygame and k-NN Prediction Algorithm (KNeighborsRegressor) for Opponent
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Updated
Sep 17, 2021 - Python
Pong with Pygame and k-NN Prediction Algorithm (KNeighborsRegressor) for Opponent
In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
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Implementing different regression models on Data Scientists salary dataset.
This repository contains introductory notebooks for KNN algorithm
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Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
Predicting monthly sales using Machine Learning, kneighborsregressor
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
Predicting diamond prices helps buyers and sellers make informed decisions by understanding market trends and potential future values.
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