Machine Learning

 Machine Learning • Concept of Artificial Intelligence • Types of AI • Fields in which AI is used • Machine learning concept • Types of machine learning • Developmental phases of Machine Learning application • Loading data set • Cleaning dataset • Concept of Supervised machine learning • Concept of Unsupervised machine learning • Libraries used for machine learning • Introduction of PIP utility • Environment setup for Machine Learning • Introduction to Data Science • Types of data • Data set and its classification • Volume, Variety, and Velocity of data • Features of and labels from data set • Training dataset and Testing data set • Data encoding in dataset • Split activity to divide dataset • Pandas library installation • Data set manipulation using pandas library • Series , DataFrame and Panel in Pandas • Numpy installation • Numeric calculations using Numpy • Scipy installation • Anaconda installation • Features of Anaconda and its use in ML • Installation of Matplotlib library • Visualisation techniques using Matplotlib • Supervised machine learning using Classification • Decision Tree algorithm for Classification • K Nearest Neighbour algorithm for Classification • Implementation of K Nearest Neighbour algorithm • Supervised machine learning using Regression • Types of Regression algorithms • Linear Regression algorithms • Logistic Regression algorithms