Course | Duration | Fees | Mode of Study | Course Level | Institute Type |
---|---|---|---|---|---|
BCA in AL-ML | 3 Years | $5000 per year | Online/On-campus | Undergraduate | Private |
Module | Topics |
---|---|
Introduction to AL-ML | History of AI, Basics of Machine Learning, Difference between AI, ML, and Deep Learning |
Data Preprocessing | Data Cleaning, Data Transformation, Feature Scaling, Handling Missing Values |
Supervised Learning | Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines |
Unsupervised Learning | K-means Clustering, Hierarchical Clustering, PCA (Principal Component Analysis) |
Neural Networks and Deep Learning | Basics of Neural Networks, CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks) |
Reinforcement Learning | Introduction to Reinforcement Learning, Q-learning, Policy Gradient Methods |
Natural Language Processing (NLP) | Text Preprocessing, Word Embeddings, Sentiment Analysis, Chatbots |
Tools and Libraries | Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch |