ElliotAddo/Machine-Learning-Algorithms

An exploration of some machine learning algorithms to predict closing price based on some features from Ghana MTN service provide. The data used for this analysis was extracted from the Ghana Stock Exchange for MTN stock prices Machine learning algorithms were trained and tested on the data set and their performance were evaluated using MSE and other evaluation metrics This document also contains some unsupervised learning algorithms where I used Hierarchical clustering to anlayze the energy consumption of some states in America The data used for the clustering was obtained from the SimpliLearn platform The random Forest classifier alone was developed using an already existing data in Python(The Iris Dataset)