Machine Learning

B.Tech Course for Academic Year 2025-26

B.Tech IT Sem 6 Syllabus: Machine Learning [ Syllabu PDF ]

📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝

B.Tech Course Syllabus Even Sem 2025-26

B.Tech IT Sem 6 Syllabus: Machine Learning [ Syllabus PDF ]

Course Materials (PPTs/PDFs/Handouts):

1. Introduction to Machine Learning
  - Introduction to Machine Learning [ PDF ]
  - Training set vs Testing set vs Validation set [ Goolge Colab ]
  - Trade-off between Bias and Variance [ PDF ]
  - Steps for developing a ML Application [ Google Colab ]
  - Evaluation Metrics and Learning Algorithms PDF
    - Confusion Matrix - Jan 2026 [ PDF ] [ Spreadsheet ]
2. Dimensionality Reduction
  - Eigenvalues and Eigenvectors [ PDF ]
  - Principal Component Analysis (PCA) [ PDF ]
    - PCA Solved Example 1 PDF
    - PCA Solved Example 2 PDF
  - Independent Component Analysis (ICA) PDF
    - ICA Solved Example [ PDF ]
  - Singular Value Decompostion (SVD) [ PDF ]
    - SVD Solved Example 1 PDF
    - SVD Solved Example 2 PDF
    - SVD Solved Example 4 PDF
    - SVD Solved Example 5 PDF
  - Linear Discriminant Analysis (LDA) [ PDF ]
  - Applications of Dimensionality Reduction
    - Image Compression [ PDF ]
    - Feature Extraction for Information Retrieval [ PDF ]
3. Classification
  - Bayesian Belief Networks (BBN) PDF
    - BBN Solved Example PDF
  - Hidden Markov Models (HMM) PDF
    - HMM Solved Example [ PDF ]
  - Support Vector Machine PDF
    - SVM Solved Example PDF
  - K-Nearest Neighbor PDF
    - KNN Solved Example PDF
  - Applications of Classification
    - Image Recognition [ PDF ]
    - Fraud Detection [ PDF ]
4. Regression
  - Learning with Regression
    - Simple Linear Regression PDF
      - Linear Regression Example 1 PDF
      - Linear Regression Example 2 PDF
    - Multiple Linear Regression PDF
      - Multiple Regration Solved Example PDF
    - Logistic Regression PDF
      - Role of Log Odds in Logistic Regression PDF
      - Logistic Regression Solved Example 1 [ PDF ]
      - Logistic Regression Solved Example 2 [ PDF ]
  - Learning with Trees
    - Decision Trees - Classification PDF
    - Decision Trees - Regression PDF
    - Classification and Regression Trees (CART) PDF
      - CART Solved Example [ PDF ]
  - Applications of Regression
    - Weather Prediction
    - Stock Market Predication
5. Clustering
  - Introduction Clustering [ PDF ]
  - Density Based Clustering: DBSCAN [ PDF ]
  - Fuzzy Clustering [ PDF ]
    - Fuzzy C-means (FCM)
    - Expectation Maximization (EM) [ PDF ]
  - Applications of Clustering
    - Sentiment Analysis [ PDF ]
    - Recommender Systems [ PDF ]
6. Reinforcement Learning
  - Introduction to Reinforcement Learning [ PDF ]
  - Formalism in Reinforcement Learning (RL)
    - Markov Decision Process (MDP) [ PDF ]
  - Reinforcement Learning Algorithms
    - Q-Learning [ PDF ]
    - State-Action-Reward-State-Action (SARSA) [ PDF ]
  - Applications of Reinforcement Learning Techniques
    - AlphaGo Zero [ PDF ]
    - Robotics and Industrial Automation [ PDF ]

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Lab Experiments

Guidelines for writing Lab Experiments - Jan 2023 [ PDF ]
List of Datasets: insurance.csv | heart.csv | iris.csv | kerala.csv

Introduction to Machine Learning
- EDA on Insurance Dataset [ ipython ] [ insurance.csv ]
- Training Dataset vs Testing Dataset vs Validation Dataset [ ipython ]
- Implement Machine Learning Steps in Python [ ipython ]
- Data Visualization Graph and Plots [ ipython ]
- Basics of Python [ ipython ]
Dimensionality Reduction
- Dimensionality Reduction using PCA [ ipython ]
- Dimensionality Reduction using SVD [ ipython ]
- Implementation of Singular Value Decomposition (SVD) [ ipython ]
Classification
- To implement Support Vector Machine
  - Heart Disease Prediction using SVM [ ipython ]
  - Breast Cancer Prediction using SVM Classifier [ ipython ]
- To implement Bayesian Classification
- To implement Hidden Hidden Markov Model
  - Weather Prediction using HMM [ ipython ]
  - Speech recognition using HMM [ ipython ]
- To Implement Random Forest
  - Heart Disease Prediction using Random Forest [ ipython ]
- To implement K-Nearest Neighbour
  - Heart Disease Prediction k-NN Classifier [ ipython ]
Regression
- To implement Linear Regression
- To implement Logistic Regression
  - Heart Disease Prediction using Logistic Regression [ ipython ]
- Decision Tree Learning
  - Decision Tree Learning using iris Dataset [ ipython ]
  - Kerala Flood Prediction using Decision Tree [ ipython ]
- To implement CART decision tree algorithm
Clustering
- Density-Based Clustering: DBSCAN [ ipython ]
- To implement Radial basis functions
Reinforcement Learning
- Reinforcement Learning Algorithms
  - Q-Learning [ PDF ]
- State-Action-Reward-State-Action (SARSA) [ PDF ]
- Mini project based on any machine learning application

🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁

Lab Manual

Sample Gray Scale 8-bit BMP Images for experiment [ IMAGE FOLDER ]
Guidelines for writing DL Lab Experiments - Jan 2023 [ PDF ]
Machine Learning using Python = Lab Manual - July 2020 [ PDF ]

B.Tech Course for Academic Year 2024-25

B.Tech IT Sem 6 Syllabus: Machine Learning PDF

B.Tech Course Syllabus Even Sem 2024-25

B.Tech IT Sem 6 Syllabus: Machine Learning Syllabus PDF

Course Materials (PPTs/PDFs/Handouts):

1. Introduction
  - Introduction to Machine Learning PDF
  - Evaluation of Learning Algorithms PDF
    - Model Evaluation (Regularization) - 25 Jan 2025 PDF
    - Model Improvement (Ensemble Learning) - 25 Jan 2025 PDF
    - Model Optimization - 25 Jan 2025 PDF
    - Confusion Matrix - Jan 2025 PDF Spreadsheet
  - Inferential Statistics: Hypotheses Testing LaTeX PDF
  - Steps for developing a ML Application Google Colab
  - Training Dataset vs Testing Dataset vs Validation Dataset Goolge Colab
  - Trade-off between Bias and Variance [ PDF ]
2. Learning with Regression and Trees
  - Learning with Regression
    - Simple Linear Regression PDF
      - Linear Regression Example 1 PDF
      - Linear Regression Example 2 PDF
    - Multiple Linear Regression PDF
      - Multiple Regration Solved Example PDF
    - Logistic Regression PDF
      - Role of Log Odds in Logistic Regression PDF
      - Logistic Regression Solved Example 1 [ PDF ]
      - Logistic Regression Solved Example 2 [ PDF ]
  - Learning with Trees
    - Decision Trees - Classification PDF
    - Decision Trees - Regression PDF
    - Classification and Regression Trees (CART) PDF
      - CART Solved Example [ PDF ]
3. Dimensionality Reduction
  - Principal Component Analysis (PCA) PDF
    - PCA Solved Example 1 PDF
    - PCA Solved Example 2 PDF
  - Independent Component Analysis (ICA) PDF
    - ICA Solved Example [ PDF ]
  - Singular Value Decompostion (SVD) PDF |
    - SVD Solved Example 1 PDF
    - SVD Solved Example 2 PDF
    - SVD Solved Example 4 PDF
    - SVD Solved Example 5 PDF
4. Classification
  - Bayesian Belief Networks (BBN) PDF
    - BBN Solved Example PDF
  - Hidden Markov Models (HMM) PDF
    - HMM Solved Example [ PDF ]
  - Support Vector Machine PDF
    - SVM Solved Example PDF
  - K-Nearest Neighbor PDF
    - KNN Solved Example PDF
5. Clustering
  - Introduction Clustering
  - Density Based Clustering: DBSCAN [ PDF ]
  - Expectation Maximization (EM) [ PDF ]
  - Radial Basis functions [ PDF ]
    - RBF Solved Example [ PDF ]
6. Applications of Machine Learning
  - Recommender Systems [ PDF ]
  - Image Recognition [ PDF ]
  - Sentiment Analysis [ PDF ]
  - Machine Learning for Video Surveillance [ PDF ]

💻 💻 💻 💻 💻 💻 💻 💻 💻 💻 💻 💻

Lab Experiments

Guidelines for writing Lab Experiments - Jan 2023 [ PDF ]
List of Datasets:

Introduction to Machine Learning
- EDA on Insurance Dataset [ ipython ] [ insurance.csv ]
- Training Dataset vs Testing Dataset vs Validation Dataset [ ipython ]
- Implement Machine Learning Steps in Python [ ipython ]
- Data Visualization Graph and Plots [ ipython ]
- Basics of Python [ ipython ]
Learning with Regression and Trees
- To implement Linear Regression
- To implement Logistic Regression
  - Heart Disease Prediction using Logistic Regression [ ipython ]
- Decision Tree Learning
  - Decision Tree Learning using iris Dataset [ ipython ]
  - Kerala Flood Prediction using Decision Tree [ ipython ]
- To implement CART decision tree algorithm
Dimensionality Reduction
- Dimensionality Reduction using PCA [ ipython ]
- Dimensionality Reduction using SVD [ ipython ]
- Implementation of Singular Value Decomposition (SVD) [ ipython ]
Classification
- To implement Support Vector Machine
  - Heart Disease Prediction using SVM [ ipython ]
  - Breast Cancer Prediction using SVM Classifier [ ipython ]
- To implement Bayesian Classification
- To implement Hidden Hidden Markov Model
  - Weather Prediction using HMM [ ipython ]
  - Speech recognition using HMM [ ipython ]
- To Implement Random Forest
  - Heart Disease Prediction using Random Forest [ ipython ]
- To implement K-Nearest Neighbour
  - Heart Disease Prediction k-NN Classifier [ ipython ]
Clustering
- Density-Based Clustering: DBSCAN [ ipython ]
- To implement Radial basis functions
Applications of Machine Learning
- Mini project based on any machine learning application

🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁

Lab Manual

Sample Gray Scale 8-bit BMP Images for experiment [ IMAGE FOLDER ]
Guidelines for writing DL Lab Experiments - Jan 2023 [ PDF ]
Machine Learning using Python = Lab Manual - July 2020 [ PDF ]

Course Examination and Evaluation

2024-25
- Internal Assessments
  - IA-1: [ IA-1 QP PDF ] [ IA-1 Solution PDF ]
  - IA-2: [ IA-2 QP PDF ] [ IA-2 Solution PDF ]
- Assignments:
  - Assignment #1: QP PDF [ Solution PDF ]
  - Assignment #2: QP PDF [ Solution PDF ]
- Theory Examination
  - Theory QP PDF [ TH Solution PDF ]

Talk in STTP
- Session 1: GANs for Medical Image Processing [ LaTeX PDF ]
- Session 2: GANs for Medical Image Processing [ LaTeX PDF ]
- Session 3: DICOM Medical Image Processing [ .ipynb ]
- Session 3: GAN over MNIST [ .ipynb ]
- Session 3: GAN for Image Synthesis over IXI dataset [ .ipynb ]

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Machine Learning

B.Tech Course for Academic Year 2025-26

B.Tech IT Sem 6 Syllabus: Machine Learning [ Syllabu PDF ]

📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝 📝

B.Tech Course Syllabus Even Sem 2025-26

Course Materials (PPTs/PDFs/Handouts):

Lab Experiments

🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁

Lab Manual

B.Tech Course for Academic Year 2024-25

B.Tech IT Sem 6 Syllabus: Machine Learning PDF

B.Tech Course Syllabus Even Sem 2024-25

Course Materials (PPTs/PDFs/Handouts):

Lab Experiments

🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁🏁

Lab Manual

Course Examination and Evaluation

Talk in STTP