Python ML Mastery: Unleash Intelligent Algorithms

Master Machine Learning in Python and create intelligent algorithms

Here's the list of the lessons in this course.

000 Introduction to Artificial Intelligence

001 Python Fundamentals for AI

002 Introduction to Machine Learning

003 Supervised Learning Algorithms

004 Unsupervised Learning Algorithms

005 Reinforcement Learning Basics

006 Deep Learning Fundamentals

007 Neural Networks and Deep Learning

008 Convolutional Neural Networks (CNN)

009 Recurrent Neural Networks (RNN)

010 Natural Language Processing (NLP)

011 Computer Vision and Image Processing

012 Generative Adversarial Networks (GANs)

013 Transfer Learning in AI

014 Ethics and Bias in AI

015 Deploying AI Models

016 Advanced Topics in Artificial Intelligence

017 Reinforcement Learning - Theory and Practice

018 Deep Reinforcement Learning

019 Probabilistic Graphical Models

020 Bayesian Networks and Inference

021 Markov Decision Processes (MDPs)

022 Advanced Neural Networks

023 Transformers and Attention Mechanisms

024 Deep Generative Models

025 Variational Autoencoders (VAEs)

026 Generative Adversarial Networks (GANs) - Advanced Techniques

027 Reinforcement Learning with Function Approximation

028 Multi-Agent Reinforcement Learning

029 Reinforcement Learning in Robotics

030 Advanced Natural Language Processing (NLP)

031 Advanced Computer Vision and Image Understanding

032 Explainable AI and Interpretability

033 Adversarial Attacks and Defenses in AI

034 AI Ethics and Responsible AI

035 Emerging Trends in Advanced AI

036 Conclusion