#READ ME Description: This is a First Optimization Machine Learning - Linear Regression (Different types of Gradient Descents) - Decision Tree Classifier Linear Regression - ML 1/Google Stock Prediction 7/16-7/17 - There are 3 different methods of Gradient Descents available - /Gradient Descent : Calculate GD with the sum of training data - /Stochastic Gradient Descent: Calculate GD for every training data - /Mini-Batch GD: Calculate GD for every mini batch of training data - A rough prediction of Google adjusted price between July16’-17’ - The implementation of Gradient Descent, Sum of Errors, Partial Derivative - Also consist the data as a cvs file Linear Regression - ML 1/Animal Weight Predictor given Brain Weight - A prediction machine learner of an Animal’s weight given its brain weight - The implementation of Gradient Descent, Sum of Errors, Partial Derivative - Also consist the data as a cvs file Linear Regression - ML 1/Global CO2 Emission Prediction 1958-2017 - A somewhat rough prediction of Global CO2 Emission from 1958-2017 - The implementation of Gradient Descent, Sum of Errors, Partial Derivative - Also consist the data as a cvs file Decision Tree Classifier - ML 1/Binary Classification - Male or Female? - A Binary classification machine learner - From given data points, ML will predict output male or female