Online Short-term Course Conducted by NIT, Warangal

Institution Name: National Institute of Technology Warangal, Telangana

Program Name: 30 hours online short-term course on Machine Learning with Python: Basics to Advanced

Dates: 21st October – 12th November, 2025

Course Content: 

• Introduction
  • What is Data Science, Real-life examples and Applications, Data Scientist roles, Machine Learning vs. Data Science vs. AI, Machine Learning types, Generics of ML approaches.
• Python
  • Essentials Data manipulation tools, NumPy, Pandas, Visualization, Scikit-Learn.
• Probability Concepts for Machine Learning
  • Basic probability theory, Random variables, Probability distributions, Bayesian theorem.
• Regression Analysis
  • Univariate linear regression, Multivariate linear regression, Polynomial Regression, Applications.
• Classification
  • Logistic regression, SVM, Multi-class SVM, Decision trees, Naïve Bayes, Applications.
• Ensemble Approaches
  • Bagging, Random Forests, Boosting: Adaboost, Gradient boosting, Applications.
• Optimization
  • Gradient descent, Stochastic gradient descent, Batch gradient descent.
• Clustering
  • Different clustering approaches and applications.
• Feature Engineering
  • Feature Scaling, Feature Selection: Filter methods, Wrapper methods, Embedded methods.
• Dimensionality Reduction
  • Principal component analysis, Linear discriminative analysis, Multiple discriminant analysis.
• Neural Networks
  • Introduction to neural networks, Back propagation algorithm and theory behind, Introduction to deep learning.
• Reinforcement Learning
  • Markov Decision Process, Planning, Estimation, Control and Applications.
• Recommendation Systems
  • Introduction, Types of recommender systems, Content-based, Collaborative filtering: Matrix factorization based approaches, Knowledgebased, and Hybrid techniques, Times series forecasting, other real time examples.
• Hands-on to the majority of the topics using Python.

Projects: 

• House price prediction using regression techniques.
• Diabetic prediction using logistic regression.
• Customer Churn Prediction Using Decision Trees and Ensemble Approaches.
• Color compression using K-means clustering
• Handwriting digit recognition using a neural network.
• Self-Driving Cabs using Q-Learning

About the Course

This 30-hour online short-term course on “Machine Learning with Python: Basics to Advanced” offers a comprehensive, hands-on introduction to core and advanced ML techniques using Python. Participants will gain practical experience through real-world datasets, coding sessions, and case studies, empowering them to apply machine learning effectively in research and industry applications.

Instructor: 

Dr. Venkateswara Rao Kagita, Assistant Professor, Department of CSE, NIT Warangal.

About the Instructor:  Dr. Venkateswara Rao Kagita is currently serving as an Assistant Professor at the National Institute of Technology (NIT) Warangal. He earned his Ph.D. from the University of Hyderabad and further expanded his global academic experience as a visiting fellow at the University of New South Wales, Sydney. His research expertise spans Data Mining, Machine Learning, and Deep Learning, with a focus on developing advanced machine learning techniques for recommender systems. Dr. Kagita’s work has secured seven research/consultancy projects worth over 2.85 crores, funded by esteemed organizations of the Government of India. His contributions to the field have been published in top-tier journals and prominent conference proceedings. In addition to his research, Dr. Kagita is a sought-after speaker, having delivered several guest lectures at premier institutions, including IITs, NITs, and other esteemed universities, both in India and internationally.

About the Institution:

National Institute of Technology, Warangal — a premier institute established in 1959 by Pandit Jawaharlal Nehru — ranks among India’s top engineering institutions. Known for its world-class faculty, research excellence, and vibrant learning environment, NITW continues to be a hub for innovation and professional growth.

• 20-day workshop.
• 1.5 hours per day.
• Flexible timings 7:30- 9.00 PM
• Hands-on experience with Python.
• Real-world projects.
• Online mode.
• No class on special days.
• Video recordings will be available
• E-certificate of participation

Registration fee: 

Account Details: 

Registration link: https://forms.gle/sko83rQZ7ihijxPD9

Last date to apply:  20th OCT 2025

Program Coordinator and Instructor:
Dr. Venkateswara Rao Kagita,
Department of CSE
NIT Warangal

For  Brochure and schedule FYI- https://nitw.ac.in/api/static/files/ML_with_Python_Brochure_2025-9-26-12-1-47.pdf