Machine Learning

Introduction

Machine learning (ML) is a type of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. It involves feeding data into algorithms that can then identify patterns and make predictions on new data. Machine learning is used in a wide variety of applications, including image and speech recognition, natural language processing, and recommender systems. In this course include Introduction to Machine Learning, Regression and their type, exploratory Data Analysis (EDA),Introduction to Overfitting and underfitting, Introduction to Logistic Regression, Naive Bayes Classifier, Introduction to KNN, Introduction to SVM, Decision Tree classifier, Introduction to Ensemble learning, Unsupervised Machine Learning Algorithm, Project deployment using Flask Framework.