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Prashant Singh Rana, PhD
Associate Professor,
Computer Science & Engg Dept,
Thapar Institute of Engg & Tech,
Patiala, Punjab - 147004, India.
Director & Co-Founder,
UCS654: Predictive Analytics using Statistics (Jan - June 2023)
Table of Content
Join Telegram Group | Click Here
Marking Scheme
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MST - 25 Marks
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EST - 35 Marks
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Assignment - 15 Marks (5 Assignments)
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Lab - 10 Marks (10 Guided Projects)
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Kaggle - 15 Marks (3 Kaggle Hack)
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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
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Topic02 - Machine Learning using Pycaret | Link
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Topic03 - Data Generation using Modelling and Simulation for Machine Learning | Link
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Topic04 - Multi-Threading using Python | Link
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Topic05 - Association Mining - Apriori | Link
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Topic06 - NA | Link
02 - Labs Experiments
02 - Labs Experiments
General Instructions
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Step 1: Create a login with Thapar email id on Coursera (coursera.org).
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Step 2: Complete the given below "Guided Project" and submit the "Compeletion Certificate" link.
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Step 3: Explore Sample Certificate | Click Here
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Step 4: Explore all "Guided Projects" on Coursera | Click Here
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Lab01
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Basics of R - Part 1
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Install R and R Studio and Practice "Basics of R" | Link
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Guided Project-01 | Due Date: 22-01-2023 23:59:59 | Submission Link
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Lab02
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Basics of R - Part 2
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Guided Project-02 | Due Date: 29-01-2023 23:59:59 | Submission Link
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Lab03
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Basics of R - Part 3
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Guided Project-03 | Due Date: 05-02-2023 23:59:59 | Submission Link
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Lab04
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Basics of R - Part 4
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Guided Project-04 | Due Date: 12-02-2023 23:59:59 | Submission Link
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Lab05
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Advance of R - Part 1
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Guided Project-05 | Due Date: 19-02-2023 23:59:59 | Submission Link
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Lab06
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Advance of R - Part 2
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Guided Project-06 | Due Date: 26-02-2023 23:59:59 | Submission Link
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Lab07
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Advance of R - Part 3
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Guided Project-07 | Due Date: 26-03-2023 23:59:59 | Submission Link
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Lab08
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Advance of R - Part 4
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Guided Project-08 | Due Date: 02-04-2023 23:59:59 | Submission Link
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Lab09
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Advance of R - Part 5
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Guided Project-09 | Due Date: 09-04-2023 23:59:59 | Submission Link
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Lab10`
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Guided Project-10 | Due Date: 16-04-2023 23:59:59 | Submission Link
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03 - Assignments
03 - Assignments
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Assignment01 - Topsis | 03 Marks | Due Date: 23 Jan 2023 | 07:59:59 | Assignment Link | Submission Link
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Assignment02 - Mashup | 03 Marks | Due Date: 13 Feb 2023 | 07:59:59 | Assignment Link | Submission Link
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Assignment03 - NA | 03 Marks | Due Date: 20 Feb 2023 | 07:59:59 | Assignment Link | Submission Link
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Assignment04 - NA | 03 Marks | Due Date: 27 Feb 2023 | 07:59:59 | Assignment Link | Submission Link
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Assignment05 - NA | 03 Marks | Due Date: 10 April 2023 | 07:59:59 | Assignment Link | Submission Link
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
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Kaggle Hack 01 - 05 Marks | Due Date: 30 Jan 2023 | 07:59:59 | Click Here to participate
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Kaggle Hack 02 - 05 Marks | Due Date: 27 March 2023 | 07:59:59 | Click Here to participate
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Kaggle Hack 03 - 05 Marks | Due Date: 17 April 2023 | 07:59:59 | Click Here to participate
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