Artificial Intelligence & Machine Learning Basics Tutorials

• Introduction to Artificial Intelligence
• History of Artificial Intelligence
• Applications of Artificial Intelligence
• Types of Artificial Intelligence
• Introduction to Machine Learning
• Difference Between AI, ML, and Deep Learning
• How Machine Learning Works
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Types of Machine Learning Algorithms
• Data Collection and Preprocessing
• Feature Engineering
• Model Training and Evaluation
• Overfitting and Underfitting
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest Algorithm
• K-Nearest Neighbors (KNN)
• Support Vector Machines (SVM)
• K-Means Clustering
• Principal Component Analysis (PCA)
• Introduction to Neural Networks
• Deep Learning Basics
• Natural Language Processing (NLP)
• Computer Vision Basics
• Evaluation Metrics in AI
• Ethics and Bias in AI
• Future of AI and Machine Learning