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UCS538: Data Science Fundamental

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Student's Data Science Projects

General Information

Teacher Code: PSR (Dr PS Rana) | GEK (Dr. Geeta Kasana) | ANK (Anika) | RA4 (Priya Arora) | RA15 (Sawinder Kaur)

Guidelines for Zoom meeting

  • Join/login with *@thapar.edu email id only.
    (You cannot join with other email id).

  • No entry after 5 min in the class.

Guidelines for Telegram Group

  • Click here to Join UCS538 telegram group

  • Click here to Join Krish Naik telegram group

  • Share blog, videos, internships or any other relevant info.

Theory Class

​Lab Class

Only for Minor in CSE

Lab Class

Theory Class

Table of Content
01 - Syllabus
1. Syllabus
Click Here
02 - Time Table
2. Time Table
Click Here
03 - Lecture Slides
3. Lecture Slides
Click Here
  • [23 Jul 2020  ] Day01 - Welcome to Data Science Fundamental
  • [24 Jul 2020  ] Day02 - Basics of Python, Syntax, Operators, Variable, if-else
  • [30 Jul 2020  ] Day03 - Loops, Functions, Math Library, Strings
  • [31 Jul 2020  ] Day04 - Random Number-String, Exception Handling
  • [06 Aug 2020] Day05 - Data Structures in Python - List
  • [07 Aug 2020] Day06 - Data Structures in Python - Dictionary
  • [13 Aug 2020] Day07 - Data Structures in Python - Tuple
  • [14 Aug 2020] Day08 - Data Structures in Python - Sets
  • [20 Aug 2020] Day09 - File Handling and Use of Lambda
  • [21 Aug 2020] Day10 - Command-line arguments and Call External Commands
  • [27 Aug 2020] Day11 - OOPs in Python - Part1 - Class, Object, Method
  • [10 Sep 2020] Day12 - OOPs in Python - Part2 - Inheritance, Overriding, Abstraction, Encapsulation
  • [11 Sep 2020] Day13 - Data Manipulation using Pandas - Part1 - Series and Data Frame
  • [17 Sep 2020] Day14 - Data Manipulation using Pandas - Part2 - Working with CSV
  • [18 Sep 2020] Day15 - Data Manipulation using Pandas - Part3 - Read JSON, HTML, Excel and Pickle files
  • [24 Sep 2020] Day16 - Data Visualization - Part1 - using Matplotlib
  • [25 Sep 2020] Day17 - Data Visualization - Part2 - using Seaborn
  • [01 Oct 2020 ] Day18 - Correlation and Regression
  • [08 Oct 2020 ] Day19 - Multivariate Regression
  • [09 Oct 2020 ] Day20 - Implementation of Multivariate Regression using LSS and scikit-learn
  • [22 Oct 2020 ] Day21 - PyCaret Automated Machine Learning Library for Regression
  • [23 Oct 2020 ] Day22 - PyCaret Automated Machine Learning Library for Classification
  • [29 Oct 2020 ] Day23 - PyCaret Automated Machine Learning Library for Clustering
  • [30 Oct 2020 ] Day24 - Model Evaluation Parameters for Regression, Classification and Clustering)
  • [05 Nov 2020] Day25 - Multi Decision Criteria using TOPSIS
  • [06 Nov 2020] Day26 - Principal Component Analysis
  • [12 Nov 2020] Day27 - Data Generation using Modelling and Simulation
  • [19 Nov 2020] Day28 -
  • [20 Nov 2020] Day29 -
​
04 - Lab Experiments
4. Lab Experiments
  • Lab01 - Python Installation, Google Colab, Github, Google Dataset Search, Kaggle, Anaconda
    • [Explore Video 1] Learn How to use Google Colab | Link1   Link2   Link3  Link4  Link5
    • [Explore Video 2] Learn How to use Github | Link1    Link2  
    • [Explore Web 1] Explore Google Dataset Search | Click Here
    • [Explore Web 2] Explore Kaggle (Compete, Datasets, Notebooks, Jobs, more) | Click Here
    • Download & Install Anaconda for Python | Click Here to download
      Default Editor → Spyder  |  To start python idle → Open "Anaconda Prompt" and write "idle"
    • Practice: Lecture of Day02 | Click Here
​
  • Lab02 - Basics of Python, Loops, Functions, String, Exception Handling
    • [Explore Video 1] How To Learn Data Science by Self Study and For Free | Click Here
    • [Explore Video 2 (imp)] How To Learn Data Science Smartly? | Click Here
    • [Explore Video 3] Role of Maths in Data Science | Click Here
    • [Explore Video 4] Step By Step Transition Towards Data Science | Click Here
    • [Explore Video 5] Complete Life Cycle of a Data Science Project | Click Here
    • [Explore Video 6] Step By Step Action Plan For Learning Data Science in 2020 | Click Here
    • Practice: Lecture of Day03 and Day04 | Click Here
​
  • Lab03 - Data Structures in Python (List, Dictionary)
    • [Explore Video 1 (imp)] Step By Step Playlist To Learn Data Science Through Kish Naik Channel Part 1 | Click Here
    • [Explore Video 2 (imp)] Step By Step Playlist To Learn Data Science Through Kish Naik Channel Part 2 | Click Here
    • Practice: Lecture of Day05 and Day06 | Click Here
​
  • Lab04 - Data Structures in Python (Tuple, Sets)
    • [Explore] Learn Neural Network and Deep Learning with code and Videos (By Prof Jeff Heaton) | Video  Code   
    • Practice: Lecture of Day07 and Day08 | Click Here
​
  • Lab05 - File Handling, Use of Lambda, Command-line arguments and Call External Commands
    • [Explore (imp)] Student Projects @ Stanford University | Click Here
    • [Explore (imp)] Student Projects @ MIT  | Click Here
    • Practice: Lecture of Day09 and Day10 | Click Here
    • Practice: How to read a file in Google Colab | Link1 Link2
​
  • Lab06 - OOPs in Python
    • [Explore (imp)] Student Projects @ LeadingIndia.ai  | Click Here
    • [Explore (imp)] Research Projects @ LeadingIndia.ai  | Click Here
    • [Explore (imp)] Resources @ LeadingIndia.ai  | Click Here
    • Practice: Lecture of Day11 and Day12 | Click Here
​
  • Lab07 - Data Manipulation using Pandas
    • [Explore Video (imp)] Data Manipulation using Pandas by Kish Naik | Part1  Part2  Part3
    • Practice: Lecture of Day13, Day14 and Day15 | Click Here
​
  • Lab08 - Data Visualization using Matplotlib and Seaborn
    • [Explore (imp)] PyPi.org: Python packages for research | Click Here
    • [Explore (imp)] Two minutes Papers  | Click Here
    • [Explore (imp)] Papers With Code | Click Here
    • Practice: Lecture of Day16 and Day17 | Click Here
​
  • Lab09 - Correlation, Regression, Least Sum of Square, Multivariate Regression
    • [Explore (imp)] User Guide for Machine Learning @scikit-learn | Click Here
    • Practice: Lecture of Day18 and Day19 | Click Here
​
  • Lab10 - Exploratory Data Analysis (EDA)
    • [Video (imp)] Pandas Visual Analysis: Perform Exploratory Data Analysis In A Single Line Of Code | Click Here
    • [Video (imp)] D-Tale: The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code | Click Here
​
  • Lab11 - Feature Selection
    • [Video (imp)] Tutorial 1: How To Drop Constant Features Using Variance Threshold | Click Here
    • [Video (imp)] Tutorial 2: How To Drop Features Using Pearson Correlation | Click Here
​​
05 - Assingment
5. Assingments
Evaluation Criteria: Multiplying Factor (MF)
      Assignment_Marks = 10          # Lets assume
      if (Assignment_Submitted_Within_Due_Date):
                   MF = 1
      else:
                  MF = 1 - abs(Submission_Date - Due_Date)/10
 
      You_Get_the_Marks_From = Assignment_Marks * MF
5.1 A01 - Basics of Python | Due Date: 23 Aug 2020 | 23:59:59 | Assignment Link | Submission Link
5.2 A02 - File Processing | Due Date: 23 Aug 2020 | 23:59:59 | Assignment Link | Submission Link
5.3 A03 - Video Processing using OpenCV | Due Date: 06 Sep 2020 | 23:59:59 | Assignment Link | Submission Link
5.4 A04 - Merging of Results | Due Date: 20 Sep 2020 | 23:59:59 | Assignment Link | Submission Link
5.5 A05 - Feature Extraction | Due Date: 27 Sep 2020 | 23:59:59 | Assignment Link | Submission Link
5.6 A06 - TOPSIS | Due Date: 16 Nov 2020 | 23:59:59 | Assignment Link | Submission Link
5.7 A07 - Data Analytics and Visualization using Google Data Studio
​5.8 A08 - Data Analytics using Tableau
5.9 A09 - Processing of Time Series Data
5.10 A10 - Coursera Project Certification
​
06 - Books
6. Books
6.1 Python Data Science Handbook | Click Here
6.2 Book 1
6.3 Book 2
07 - Projects
7. Projects
7.1 DNA Sequencing Classifier using Machine Learning (Notebook is available in the description) | Click Here
7.2 Colour Detection | Click Here
7.3 Titanic data exploration and prediction using Machine Learning | Click Here
7.4 Tumer Analysis (by Kritika Aggarwal) | Click Here
7.5 How To Train Deep Learning Models In Google Colab- Must For Everyone | Click Here
7.6 Handling Imbalanced Datasets   SMOTE Technique | Click Here
7.7 Tumer Analysis (by Kritika Aggarwal) | Click Here
08 - Self Learning Resources
8. Self Learning Resources
8.1 Explore and subscribe to Youtube Channels
8.2 Data Science Projects playlist | Click Here
8.3 Free Coursera Courses for Thapar Students | Click Here and Join with *@thapar.edu. Click on Catalog.
8.4 Learn NumPy in a very easy way (By Simran, BE, 4th Yr) | Click Here
8.5 Learn Neural Network and Deep Learning with code and Videos (By Prof Jeff Heaton) | Video  Code

​

​

09 - Resource for Research Paper
9. Resource for Research Paper
9.1 Paper With Code | Click Here
9.2 Two Minutes Papers | Click Here
​9.3 For Research Papers

Search using DOI (Digital Object Identifier) | Example (Search for): 10.1016/j.bbapap.2014.07.010

Search using title | Example (Search for): "Quality assessment of modeled protein structure using"

​
9.4 For Books
​9.5 For Thesis
Student's Data Science Projects
StudentProjects
1. Tumer Analysis (by Kritika Aggarwal, BE, 3rd yr) | Click Here
2. Learn NumPy in a very easy way (by Simran, BE, 4th yr) | Click Here
3. Instagram-Scrapper (by Parth Verma, BE, 3rd Yr) | Video  Code
4. Neural Network from Scratch in Python (by Tanmay Agarwal, BE, 3rd yr ) | Code
5. Comming Soon.....
​
Quiz
Quiz
1. Quiz Exam 1

General Information

  • Date: 11 Oct 2020  | 09:00 - 09:15 (15 minutes)
  • Max Marks: 10
  • Number of Questions: 10
  • Five sets with different questions
  • Question types: MCQ, Fill in the blanks, True/False.
  • No negative marking
  • Exam link will be open till 09:30
  • The exam will be conducted on Google forms
  • Reward: With every delay of 1 min in the submission, you will get the reward of -0.5 marks.
  • ​No Makeup exam.

Syllabus for Quiz

- Tableau Interview Questions/Answers
     1. Simplilearn | Click Here
     2. Edureka | Click Here
     3. Wisdom Jobs & Tutorials | Part 1    Part 2

Exam Link

MST Quiz - 1

  • Date: 05 Dec 2020

  • Time: 18:00 - 18:45

  • Read all the instructions carefully

  • First download the dataset: Click Here

  • Click Here to Start

MST Quiz - 2

  • Date: 08 Dec 2020

  • Time: 18:00 - 19:00

  • Read all the instructions carefully

  • First download the dataset: Click Here

  • Click Here to Start

MST Quiz - 3

  • Date: 11 Dec 2020

  • Time: 18:00 - 19:00

  • Read all the instructions carefully

  • Click Here to Start

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