I will master ai and ml with fun your will enjoy all the sessions

Machine Learning Algorithms:

• Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, and Support Vector Machines (SVM).
• Unsupervised Learning: K-Means Clustering, DBSCAN, and Principal Component Analysis (PCA).
• Ensemble Methods: Random Forests, Gradient Boosting (XGBoost, LightGBM).

Deep Learning Basics:

• Introduction to Neural Networks, CNNs, RNNs, and LSTMs.
• Build deep learning models using TensorFlow/Keras.

Artificial Intelligence Concepts:

• Reinforcement Learning (Q-Learning, Deep Q-Networks).
• Natural Language Processing (NLP): Text classification, sentiment analysis, and chatbots.
• Computer Vision: Image classification and object detection