| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 3 years | Undergraduate | INR 20,000 per year | Full-time | Public |
| Module | Important Topics |
|---|---|
| Introduction to Machine Learning | History of AI and ML, Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning) |
| Python for Machine Learning | Python Basics, NumPy, Pandas, Matplotlib |
| Data Preprocessing | Data Cleaning, Data Transformation, Feature Scaling |
| Supervised Learning | Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines |
| Unsupervised Learning | K-Means Clustering, Hierarchical Clustering, Principal Component Analysis |
| Neural Networks and Deep Learning | Perceptrons, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks |
| Reinforcement Learning | Markov Decision Processes, Q-Learning, Policy Gradient Methods |
| Natural Language Processing | Tokenization, Stemming, Lemmatization, Word Embeddings |
| Current Trends in AI and ML | AI Ethics, Generative Adversarial Networks, AutoML, Explainable AI |
