Imv-Coincent

Student Guide Book

Schedule/curriculum Time Table

Python Demo And Installation

Basic Python

Introduction to Library

Statistics

Data

Clustering

FEATURE SCALING

Linear and Logistic Regression

ML _1st Live Session_ 21st MAY 2021_ 6:00 pm

ML _2nd Live Session_ May 24, 2021 06:00 PM

ML _3rd Live Session_ 26 MAY 2021_ 6:00 pm

ML _4th Live Session_ 28 MAY 2021_ 6:00 pm

ML _5th Live Session_ 31 MAY 2021_ 6:00 pm

ML _6th Live Session_ 02 June 2021_ 6:00 pm

ML _7th Live Session_ 04 June 2021_ 6:00 pm

ML _8th Live Session_ 07 June 2021_ 6:00 pm

ML _9th Live Session_ 09 June 2021_ 6:00 pm

ML _10th Live Session_ 11 June 2021_ 6:00 pm

ML _11th Live Session_ 14 June 2021_ 6:00 pm

ML _12th Live Session_ 16 June 2021_ 6:00 pm

ML _13th Live Session_ 18 June 2021_ 6:00 pm

ML _14th Live Session_ 21 June 2021_ 6:00 pm

ML _15th Live Session_ 23 June 2021_ 6:00 pm

ML _16th Live Session_ 25 June 2021_ 6:00 pm

ML _17th Live Session_ 28 June 2021_ 6:00 pm

ML _18th Live Session_ 30 June 2021_ 6:00 pm

ML_19th Live Session_ Jul 2, 2021 06:00 PM

ML_1st Session_21st MAY 2021_ 6:00 pm

ML_2nd session_May 24, 2021 06:00 PM

ML_3rd Session_26 MAY 2021_ 6:00 pm

ML_4th Session_28 MAY 2021_ 6:00 pm

ML_5th Session_31 MAY 2021_ 6:00 pm

ML_6th Session_02 June 2021_ 6:00 pm

ML_7th Session_04 June 2021_ 6:00 pm

ML_8th Session_ 07 June 2021_ 6:00 pm

ML_9th Session_09 June 2021_ 6:00 pm

ML_10th Session_11 June 2021_ 6:00 pm

ML_11th Session_ Jun 14, 2021, 06:00 PM

ML_12th Session_16 June 2021_ 6:00 pm

ML_13th Session_18 June 2021_ 6:00 pm

ML_14th Session_21 June 2021_ 6:00 pm

ML_15t Session_23 June 2021_ 6:00 pm

ML_16th Session_25 June 2021_ 6:00 pm

ML_17th Session_28 June_2021_6:00pm

ML_18th Session_30 June 2021_6:00 PM

ML_19th Session_ 02 July 2021_6:00 PM Part 1

ML_19th Session_ 02 July 2021_6:00 PM Part 2

Major Project

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

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

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

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

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

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

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

8.1 Overview

8.2: List and Set Comprehensions

8.2: List and Set Comprehensions

8.3: 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

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

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

File IO and Resource Managements Slide

MTA Exam Objectives

Part-1

Part-2

Restaurant Review using NLP

Data Set

Internship Project Submissions Link