Introduction to Machine Learning UNIT 1 Experiment 1: Exploring Vector Algebra in Machine Learning u1_experiment1.ipynb Experiment 2: Probability in Data Modelling u1_experiment2.ipynb Experiment 3: Regression Analysis for Prediction u1_experiment3.ipynb UNIT 2 Experiment 1: Implementing Network Functions u2_experiment1.ipynb Experiment 2: Backpropagation Algorithm u2_experiment2.ipynb Experiment 3: Spectral Decomposition for Feature Extraction u2_experiment3.ipynb UNIT 3 Experiment 1: Reinforcement Learning for Path Planning python3 u3_exp1.py Experiment 2: Deep Learning for Object Detection in Robotics python3 u3_exp2.py Experiment 3: Integrating Reinforcement and Deep Learning for Robotic Arm Control python3 u3_exp3.py