Syllabus

I. How ML and AI work together (20Hrs)
• Data pre-processing for Machine Learning
• Feature Scaling and normalization
• Encoding categorical variables
• Model Training and Evaluation
• Applying machine learning models on pre- processed data
• Model evaluation metrics
II. Supervised Learning, Unsupervised Learning, and Machine Learning Algorithm (30Hrs)
• Regression and classification
• Model evaluation metrics
• Clustering Algorithms
• Dimensionality reduction
• Advanced ML Algorithms
? Ensemble learning
? Decision trees, random forests, and boosting
? Model Stacking
III. Introduction of Neural Networks and NLP (30Hrs)
• Perceptron and activation functions
• Feedforward and backpropagation
• Building Neural networks with Tensorflow / keras
• Model architecture and design
• Training and Evaluation
• Introduction to natural language processing (NLP)
? Tokenization and text processing
? Sentiment analysis
IV. Advanced AI Applications and Trends (10Hrs)
• Introduc

• Fee : Rs.10,000/-
• Fee Details: Ist Instalment Rs.6,000/- (on admission) Balance on next month (Rs.4,000)