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PAI101 - Essentials of AI | ME AI 1st Sem (July to Dec 2025 | ODD2526)

Table of Content
Join WhatsApp Group | Click Here
Marking Scheme
  1. MST = 35 Marks
  2. EST = 35 Marks
  3. Sessional = 30 marks
    • Quiz = 10 marks (Two Quizzes)
    • Course Certifications = 10 marks (Maximum Submission --> Maximum Marks)
    • Kaggle Hack = 10 marks (Five Hacks)
01 - Lecture Resources
01 - Lecture Resources
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  • Topic01 - Topsis - Multiple Criteria Decision Making  |  Link
  • Topic02 - Sampaling | Link
  • Topic03 - Distribution | Link
  • Topic04 - Machine Learning using Pycaret | Link
  • Topic05 - Data Generation using Modelling and Simulation for Machine Learning | Link
  • Topic06 - Association Mining - Apriori | Link
  • Topic07 - Association Mining - ECLAT | Link
  • Topic08 - Multi-Threading using Python | Link
  • Topic09 - Hypothesis Testing and Parameter Estimation | Link
  • Topic10 - Parameter Optimization | Link
  • Topic11 - Nonliner Modelling | Link
  • Topic12 - Measuring Data Similarity and Dissimilarity | Link
  • Topic13 - Ensemble Technique | No PPT
02 - Labs Experiments
02 - Labs Experiments and Guided Projects
General Instructions
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1. Guided Project (GP)
  • Step 1: Create a login with Thapar email id on Coursera (coursera.org).
  • Step 2: Complete the given below "Guided Project" and submit the "Compeletion Certificate" link.
  • Step 3: Explore Sample Certificate | Click Here
  • Step 4: Explore all "Guided Projects" on Coursera | Click Here
  • Maximum marks for maximum submissions
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03 - Assignments
03 - Assignments
  • Assignment01 | Certification Course on Neural Network
    • ​Title: Understanding the working of Neural Networks (2hr) by Analytics Vidhya | Click Here
    • Due Date: 12 Aug 2025 | 07:59:59 | Submission Link​​
  • Assignment02 | Certification Course on Gen AI
  • Assignment03 | Poster-1
    • ​Title: Prepare a poster to prediction using Landing AI. 
    • Due Date: 19 Aug 2025 | 07:59:59 | Submission Link
  • Assignment04 | Poster-2
    • ​Title: Prepare a poster to prediction using Landing AI
    • Due Date: 19 Aug 2025 | 07:59:59 | Submission Link
04-KaggleHack
04 - Kaggle Hack
General Instructions
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1. Kaggle Resources
  • Five days short and intensive course on Kaggle (1hr each; total = 5hr) | Click Here
  • Kaggle Grand Master Talks
T-1  |  T-2  |  T-3  |  T-4  |  T-5  |  T-6  |  T-7  |  T-8  |  T-9  |  T-10
  • Getting started with Kaggle by Mr. Raghav Garg, Mr. Aadil Garg, Mr. Pratham Garg | Click Here
  • Kaggle Resources by Mr. Eishkaran Singh | Click Here
  • Kaggle notebooks
    • Latest Playground Series Basic's Notebook for Beginners | Click Here
    • Latest Playground Series Advanced Approach | Click Here
    • XGB HyperParameter Tuning Notebook | Click Here

 

2. Students Achievement @ Kaggle | Click Here
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