Machine Learning Current Status Not Enrolled Price Closed Get Started This course is currently closed Course Content Expand All Important Instruction Read Before You Start Lets Get Started Module 1 – Introduction to Machine Learning 2 Topics Expand Lesson Content 0% Complete 0/2 Steps 1.1 – Definition and basic concepts 1.2 – Types supervised, unsupervised, and reinforcement Module 2 – Mathematics for Machine Learning 3 Topics Expand Lesson Content 0% Complete 0/3 Steps 2.1 – Linear algebra 2.2 – Calculus 2.3 – Probability and statistics Module 3 – Python Programming: 2 Topics Expand Lesson Content 0% Complete 0/2 Steps Python Introduction Python Basics Module 4 – Libraries and Data Processing 4 Topics Expand Lesson Content 0% Complete 0/4 Steps NumPy Pandas Matpotlib Seaborn Module 5 – Supervised Learning and Module 6 – Model Evaluation and Validation Module 7 – Unsupervised Learning Module 8 – Feature Engineering Module 9 – Advanced Regression Techniques Module 10 – Natural Language Processing (NLP) 2 Topics Expand Lesson Content 0% Complete 0/2 Steps NLP Part – 1 NLP Part – 2 Module 11 – Deep Learning Fundamentals Module 12 – Convolutional Neural Networks (CNNs) Module 13 – Recurrent Neural Networks (RNNs) Module 14 – Generative Adversarial Networks (GANs): Module 15 – Deployment and Model Optimization Module 16 – Special Topics in Machine Learning Module 17 – How to use Kaggle Platform Project – Spam Classifier Bonus Project – Sentiment Analysis Download Internship Certificate Download Internship Certificate 1 Quiz Expand Lesson Content Download Internship Certificate – Machine Learning Mock Interview QNA Machine Learning Mock Interview Questions and Answers Get Project Internship Letter Project Submission (Optional)