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UCS654: Predictive Analytics using Statistics (Jan - June 2023)

Table of Content
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Marking Scheme
  1. MST - 25 Marks | 6 March 2023 13:00 hr | Note: No step marking
    • Syllabus
      • Sampaling + TOPSIS (10 marks) | Connected questions; if first was wrong, then no checking for next part.
      • Distribution (5 marks)
      • Data generation using simulation and find outliers (5 marks)
      • Open questions (5*1 marks) | Short question/answers, MCQ, fill in the blanks, True/False, etc on Sampaling or/and Distribution | use ChatGPT
        • "numerical mcq on sampaling with answers"
        • "numerical mcq on distribution with answers"
        • "multiple questions on sampaling techniques with answers"
        • "multiple questions on distribution techniques with answers"
        • ......... try other phrases, regenerate responses and practice 200+ questions.
      • Good Luck
  2. EST - 35 Marks
  3. Assignments - 10 Marks (5 Assignments)
  4. Lab-1 (Kaggle-NFL) - 10 Marks
  5. Lab-2 (Guided Projects) - 10 Marks
  6. Quiz - 10 Marks
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  • Special Offer (Top 50 in the leaderboard will get A grade)
- Participate in Kaggle Problem: Player Contact Detection in NFL
- For more info: https://www.kaggle.com/competitions/nfl-player-contact-detection
- Last Date to participate: 23rd Feb 2023
- Add "Thapar" as a prefix in the "Team Name" (e.g. Thapar - Team Sharma)
- Maximum team size allowed is 3 (All will get A grade; You may be called for the verification of your result)
01 - Lecture Resources
01 - Lecture Resources
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  • Topic01 - Topsis - Multiple Criteria Decision Making  |  Link
  • Topic02 - Machine Learning using Pycaret | Link
  • Topic03 - Data Generation using Modelling and Simulation for Machine Learning | Link
  • Topic04 - Multi-Threading using Python | Link
  • Topic05 - Sampaling | Link
  • Topic06 - Distribution | Link
  • Topic07 - Hypothesis Testing and Parameter Estimation | Link
  • Topic08 - Parameter Optimization of SVM | Link
  • Topic09 - Measuring Data Similarity and Dissimilarity | Link
  • Topic10 - Association Mining - Apriori | Link
  • Topic11 - Association Mining - ECLAT | Link
  • Topic12 - NA | Link
02 - Labs Experiments
02 - Labs Experiments
General Instructions
  • 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
    
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03 - Assignments
03 - Assignments
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Assignment01 - Marks Analysis | 05 Marks | Due Date: 30 Jan 2022 | 23:59:59 | Assignment Link | Submission Link
Assignment02 - Feature Extraction | 05 Marks | Due Date: 06 Feb 2022 | 23:59:59 | Assignment Link | Submission Link
Assignment03 - Classification | 05 Marks | Due Date: 20 Feb 2022 | 23:59:59 | Assignment Link | Submission Link
​​Assignment05 - Google Data Studio | 05 Marks | Due Date: 10 March 2022 | 23:59:59 | Assignment Link | Submission Link
04-KaggleHack
04 - Kaggle Hack
  • Kaggle Hack 01 - 05 Marks | Due Date: 30 Jan 2023 | 07:59:59 | Click Here to participate
  • Kaggle Hack 02 (NFL) - 10 Marks | Due Date: 23 Feb 2023 | 05:29 am (IST) | Click Here to participate
    • Maximum Team Size: 4
    • Submissions allowed/day: 5
    • Add "Thapar" as a prefix in the "Team Name" (e.g., Thapar - PSRana)
    • Marking Scheme: Based on the final ranking on the leaderboard

      • Rank in Top 50 = A grade in the subject (All team members will get A grade)

      • Rank between 51 - 100 = 8 marks

      • Rank between 101 - 150 = 6 marks

      • Rank between 151 - 200 = 4 marks

      • Rank between 201 - 400 = 2 marks

      • Rank above 400 / No submission = 0 Marks

    • Rule: No Rule (Jo karna hai kar lo)

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