Overview :

This course aims to provide an introduction to the basic principles, techniques, and applications of Machine Learning & AI. Programming assignments are used to help clarify basic concepts.



Course :

Day 1:


  1. Introduction:
  2. Python for AI (Significant Functions, Packages and Routines)
  3. Regression (Linear, Multiple, Logistic)
  4. Clustering (k-means, hierarchical, high-dimensional)
  5. Value-based methods (e.g. Q-learning)
  6. Neural Network Basics

Day 2:


  1. Convolutional Neural Networks
  2. Statistical NLP and text similarity
  3. Text Summarization Techniques
  4. Uninformed and heuristic-based search techniques



Benefits :

  1. Python
  2. Data Libraries such as Pandas, Numpy, Scipy
  3. Python Machine Learning library such as scikit-learn
  4. Python visualization library such as Matplotlib
  5. Natural Language Processing library such as NLTK
  6. Tensor Flow
  7. Keras
  8. Supervised Learning
  9. Reinforcement Learning
  10. Deep Learning


Details :

  1. Venue : KIT's College Of Engineering, Kolhapur

  2. Workshop Fees: Rs.1100/- per participant

  3. Date : 9th & 10th September