Predicting Market Price for Bitcoin using regressors like KNN repressor, linear regression, Ridge, Lasso, polynomial regression, SVM

A project using linear regression to predict Bitcoin prices based on historical data. Includes data preprocessing, feature selection, and model training to forecast future price trends. Visualizes results with plots and provides insights into Bitcoin market dynamics and potential investment strategies.

A machine learning project that predicts Bitcoin prices using historical market data from Yahoo Finance. Utilizes AWS (S3, Athena, SageMaker), PySpark, and Scikit-learn to build and evaluate Linear Regression and Random Forest models. Includes data preprocessing, feature engineering, and model evaluation using RMSE.

Simple Linear Regression

Predicting Bitcoin daily price using Linear Regression with historical market data. Includes preprocessing, feature engineering, and model evaluation.

Predicting Bitcoin price using Multiple Linear Regression based on market indicators. A simple yet effective ML approach to model cryptocurrency trends.