Course curriculum

  • 1

    Student Guide Book

    • Student Guide Book

    • Schedule/curriculum Time Table

    • Jupyter NoteBook Installation Guide

    • Book for References

  • 2

    Zoom Live Sessions

    • ML _1st Live Session_ 17/12/2020_ 6:00 pm

    • ML_2nd Live Session_ Dec 22, 2020 _ 06:00 PM

    • ML_3rd Live Session_ Dec 24, 2020 06:00 PM

    • ML_ 4th Session_ Dec 29, 2020 06:00 PM

    • ML- 5th Live Session _Jan 5, 2021 06:00 PM

    • ML_ 6th Live Session_ Jan 9, 2021 06:00 PM

    • ML_7th Live Session_ Jan 11, 2021 06:00 PM

    • ML_ 8th Live Session _ Jan 13, 2021 06:00 PM

    • ML_9th Live Session_ Jan 17, 2021 06:00 PM

    • ML_10th Live Session_ Jan 18, 2021 06:00 PM

    • ML_ 11th Live Session_ Jan 20, 2021 06:00 PM

    • ML_ 12th Live Session_ Jan 23, 2021 06:00 PM

    • ML_ 13th Live Session_ Jan 25, 2021 06:00 PM

    • ML_ 14th Live Session_ Jan 27, 2021 06:00 PM

    • ML_ 15th Live Session_ Jan 29, 2021 06:00 PM

    • ML_ 16th Live Session_ Jan 30, 2021 06:00 PM

    • ML_17th Live Session _Jan Feb 1, 2021 06:00 PM

    • ML_18th Live Session_ Feb 3, 2021 06:00
  • 3

    Recorded Session

    • 17/12/2020_ML/AI/DS_Session 1

    • 22/12/2020_ML/DS_Session 2

    • 24/12/2020_ML/DS_Session 3

    • 29/12/2020_ML/DS_ Session 4

    • 05/01/2021_ ML/DS_ Session 5

    • 09/01/2021_ ML/DS_ Session 6

    • 11/01/2021_ ML/DS_ Session 7

    • 13/01/2021_ ML/DS _ Session 8

    • 17/01/2021_ML/DS_ Session 9

    • 18/01/2021_ML/DS_ Session 10

    • 20/01/2021_ML/DS_ Session 11

    • 23/01/2021_ML/DS_ Session 12

    • 25/01/2021_ML/DS_ Session 13

    • 27/01/2021_ML/DS_ Session 14

    • 29/01/2021_ ML/DS_ Session 15

    • 30/01/2021_ ML/DS_ Session 16

    • 01/01/2021_ ML/DS_Session 17

    • 03/01/2021_ML/DS _ Session 18
  • 4

    Projects

    • Mini Project

    • Major Project
  • 5

    MTA _ Module 1: Installing and Starting Python

    • 1.1: Overview

    • 1.2: Installing Python

    • 1.3: Interactive Python

    • 1.4: Significant Whitespace

    • 1.5: Python Culture

    • 1.6: The Python Standard Library

    • 1.7: Summary

    • Installing and Starting Python Slides
  • 6

    Module 2: Scalar Types, Operators and Control Flows

    • 2.1: Overview

    • 2.2: Relational Operators

    • 2.3: Control Flow

    • 2.4: While Loops

    • 2.5: Summary

    • Scalar Type Operators and Control Flow Slides
  • 7

    Module 3: Introducing Strings, Collections and Iterations

    • 3.1: Overview

    • 3.2: String

    • 3.3: String Literals

    • 3.4: Bytes

    • 3.5: List

    • 3.6: Dictionary

    • 3.7: For Loop

    • 3.8: Putting It All Together

    • 3.9: Summary

    • Introducing Strings, Collections and Iterations Slide
  • 8

    Module 4: Modularity

    • 4.1: Overview

    • 4.2: Modules

    • 4.3: Functions

    • 4.4: Name

    • 4.5: The Execution Model

    • 4.6: Command Line Arguments

    • 4.7: Docstrings

    • 4.8: Comments

    • 4.9: Shebang

    • 4.10: Summary

    • Modularity Slides
  • 9

    Module 5: Objects and Types

    • 5.1: Overview

    • 5.2: Passing Arguments and Returning Values

    • 5.3: Function Arguments

    • 5.4: Python's Type System

    • 5.5: Scopes

    • 5.6: Everything is an Object

    • 5.7: Summary

    • Objects and Types
  • 10

    Module 6: Built-in Collections

    • 6.1: Overview

    • 6.2: Tuples

    • 6.3: Strings

    • 6.4: Ranges

    • 6.5: Lists

    • 6.6: Dictionaries

    • 6.7: Sets

    • 6.8: Protocols

    • 6.9: Summary

    • Built-in Collections Slides

    • Codes for Built-in Collections

  • 11

    Module 7: Exceptions

    • 7.1: Overview

    • 7.2: Exceptions and Control Flow

    • 7.3: Handling Exceptions

    • 7.4: Exceptions and Programmer Errors

    • 7.5: Re-raising Exceptions

    • 7.6: Exceptions and Part of the API

    • 7.7: Exceptions and Protocols

    • 7.8: Avoid Explicit Type Checks

    • 7.9: It's Easier to Ask Forgiveness Than Permission

    • 7.10: Cleanup Actions

    • 7.11: Platform Specific Code

    • 7.12: Summary

    • Exceptions Slide
  • 12

    Module 8: Iterations and Iterables

    • 8.1 Overview

    • 8.2: List and Set Comprehensions

    • Dictionary Comprehensions

    • 8.4: Filtering Comprehensions

    • 8.5: Iteration Protocols

    • 8.6: Generator Functions

    • 8.7: Maintaining State in Generators

    • 8.8: Laziness and the Infinite

    • 8.9: Generator Expressions

    • 8.10: Iteration Tools

    • 8.11: Summary

    • Iteration and Iterables Slides
  • 13

    Module 9: Classes

    • 9.1: Overview

    • 9.2: Classes

    • 9.3: Defining Classes

    • 9.4: Instance Methods

    • 9.5: Instance Initializers

    • 9.6: A Second Class

    • 9.7: Collaborating Classes

    • 9.8: Booking Seats

    • 9.9: Methods for Implementation Details

    • 9.10: Object Oriented Design with Function Objects

    • 9.11: Polymorphism and Duck Typing

    • 9.12: Inheritance and Implementation Sharing

    • 9.13: Summary

    • Classes Slides
  • 14

    Module 10: File IO and Resource Managements

    • 10.1: Overview

    • 10.2: Opening Files

    • 10.3: Writing Text

    • 10.4: Reading Text

    • 10.5: Appending Text

    • 10.6: Iterating Over Files

    • 10.7: Closing Files with Finally

    • 10.8: With Blocks

    • 10.9: Binary Files

    • 10.10: Bitwise Operators

    • 10.11: Pixel Data

    • 10.12: Reading Binary Data

    • 10.13: File-like Objects

    • 10.14: Context Manager

    • 10.15: Summary

    • File IO and Resource Managements Slide
  • 15

    MTA Exam Objectives

    • MTA Exam Objectives

  • 16

    Internship Project 1_ Tic-Tac-Toe

    • Part-1

    • Part-2
  • 17

    Internship Project-2_ Restaurant Review using NLP

    • Restaurant Review using NLP

    • Data Set

    • Internship Project Submissions Link