Author name: Abhinav

Overview This Jupyter Notebook illustrates a machine learning pipeline for predicting Bitcoin price movements using historical price data. The pipeline consists of data loading, data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation of a Long Short-Term Memory (LSTM) network. Dataset Description The dataset used in this model is the historical Bitcoin price data …

Bitcoin Price Prediction Using Machine Learning Read More »

This Jupyter Notebook illustrates a machine learning pipeline on the Iris data set. The pipeline consists of data loading, data preprocessing, model training, hyperparameter tuning and random forest classifier evaluation. Dataset Description The Iris dataset is one of the most classic datasets in machine learning, and it includes 150 samples of three species of Iris …

Implimentation of Bagging Method on IRIS Dataset Read More »