Data Science Using Python

Welcome to APSSDC Data Science Using Python Online Internship Training, this repository consists of all the files, resources, and recorded session links which are discussed during the entire training.

From 19-June-2021 Meeting Link → [Click Here to Join] or Meeting Id -> [773-192-357]

APSSDC-Datasets → [Click Here]

Few resources avaliable @ [resources.md] file don’t forget to use them

Python Practice Problems

Slack for Communication → [Click here to Join in Slack]

Day to Day Attendance [Click to Check your Attendance]

Provide your valuable feedback Click to View Form

Instructions for attendance

Everyone should compulsory follow the below instruction in order to get the attendance –> Certificate

1. Login format rollnumber-name-college
2. Don’t give spaces in roll number or shorcut of your roll number
3. Don’t give spaces between rollnumber and name (only - single minus or hyphen character)
4. Make sure roll number should match with the registered roll number
5. Minimum 100 minutes should attend in 120 minutes session with same login format

Lecture Slides, Notebooks and Recordings

• Day01 - 24-May-2021 - [Introduction to Data Science] → [Recording]
• Day02 - 25-May-2021 - [Introduction to Python Programming] → [Recording]
• Day03 - 26-May-2021 - Introduction to Jupyter and Markdown → [.ipynb], [.pdf] - [Recording]
• Day04 - 27-May-2021 - [Version Control System using Git & GitHub] - [Recording]
• Day05 - 28-May-2021 - [Git and GitHub Workflow] - [Recording]
• Day06 - 29-May-2021 - Python Basics → [.ipynb], [.pdf] - [Recording]
• Day07 - 31-May-2021 - Conditional Statements Loops in Python → [.ipynb], [.pdf] - [Recording]
• Day08 - 01-Jun-2021 - Strings, String Methods and Lists in Python → [.ipynb], [.pdf] - [Recording]
• Day09 - 02-Jun-2021 - List, Tuple and its methods in Python → [.ipynb], [.pdf] - [Recording]
• Day10 - 03-Jun-2021 - Dictionary its methods in Python → [.ipynb], [.pdf] - [Recording]
• Day11 - 04-Jun-2021 - Sets and Functions in Python → [.ipynb], [.pdf] - [Recording]
• Day12 - 05-Jun-2021 - File Handling in Python → [.ipynb], [.pdf] - [Recording]
• Day13 - 07-Jun-2021 - Files and Functions contd. → [.ipynb], [.pdf] - [Recording]
• Day14 - 08-Jun-2021 - Modules and Packages in Python → [.ipynb], [.pdf] - [Recording]
• Day15 - 09-Jun-2021 - Regular Expressions in Python → [.ipynb], [.pdf] - [Recording]
• Day16 - 10-Jun-2021 - Regular Expressions in Python → [.ipynb], [.pdf] - [Recording]
• Day17 - 11-Jun-2021 - Object Oriented Programming in Python P1 → [.ipynb], [.pdf] - [Recording]
• Day18 - 12-Jun-2021 - Object Oriented Programming in Python P2 → [.ipynb] - [Recording]
• Day19 - 14-Jun-2021 - [All About Data] → [Recording]
• Day20 - 15-Jun-2021 - Data Science Life Cycle & Numpy → [.ipynb] - [Recording]
• Day21 - 16-Jun-2021 - Numpy continue.. → [.ipynb] - [Recording]
• Day22 - 17-Jun-2021 - Data Analysis using Pandas → [.ipynb] - [Recording]
• Day23 - 18-Jun-2021 - Data Analysis using Pandas Part-2 → [.ipynb] - [Recording]
• Day24 - 19-Jun-2021 - Data Analysis & Cleaning using Pandas → [.ipynb] - [Recording]
• Day25 - 21-Jun-2021 - Data Visualizatoin using Matplotlib → [.ipynb], [.pdf] - [Recording]
• Day26 - 22-Jun-2021 - Data Visualizatoin using Matplotlib and Data Preprocessing → [.ipynb] - [Recording]
• Day27 - 23-Jun-2021 - Data Preprocessing with Titanic Dataset → [.ipynb] - [Recording]
• Day28 - 24-Jun-2021 - Data Visualisation using Seaborn → [.ipynb] - [Recording]
• Day29 - 25-Jun-2021 - Data Visualisation using Seaborn Part-2 → [.ipynb] - [Recording]
• Day30 - 26-Jun-2021 - Data Visualisation using Seaborn Part-3 → [.ipynb] - [Recording]
• Day31 - 28-Jun-2021 - Introduction to Machine Learning → [.ipynb] - [Recording]
• Day32 - 29-Jun-2021 - Simple Linear Regression using Python → [.ipynb] - [Recording]
• Day33 - 30-Jun-2021 - Multi Linear Regression & Polynomial Regression → [.ipynb] - [Recording]
• Day34 - 01-Jul-2021 - Regularized Models and Evaluation Metrics for Regression → [.ipynb] - [Recording]
• Day35 - 02-Jul-2021 - Elastic Net and Polynomial Regression → [.ipynb] - [Recording]
• Day36 - 03-Jul-2021 - Logistic Regression and Evaluation Metrics for classification → [.ipynb] - [Recording]
• Day37 - 05-Jul-2021 - KNearest Neighbors Classification → [.ipynb] - [Recording]
• Day38 - 06-Jul-2021 - Decision Tree Classification → [.ipynb] - [Recording]
• Day39 - 07-Jul-2021 - Random Forest classification → [.ipynb] - [Recording]
• Day40 - 08-Jul-2021 - Support Vector Machines → [.ipynb] - [Recording]
• Day41 - 09-Jul-2021 - Navie Bayes Classifier → [.ipynb] - [Recording]
• Day45 - 14-Jul-2021 - PCA → [.ipynb] - [Recording]