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

Data Science _1st Live Session _22 MAY 2021 _ 6:00 pm

Data Science _2nd Live Session _25 MAY 2021 _ 6:00 pm

Data Science _3rd Live Session _27 MAY 2021 _ 6:00 pm

Data Science _4th Live Session _29 MAY 2021 _ 6:00 pm

Data Science _5th Live Session _01 June 2021 _ 6:00 pm

Data Science _6th Live Session _03 June 2021 _ 6:00 pm

Data Science _7th Live Session _05 June 2021 _ 6:00 pm

Data Science _8th Live Session _08 June 2021 _ 6:00 pm

Data Science _9th Live Session _10 June 2021 _ 6:00 pm

Data Science_10th Session_ Jun 12, 2021 06:00 PM

Data Science_11th Session_ Jun 15, 2021 06:00 PM

Data Science_12th Session_ Jun 17, 2021 06:00 PM

Data Science_13th Session_ Jun 19, 2021 06:00 PM

Data Science_14th Session_ Jun 22, 2021 06:00 PM

Data Science_15th Session_ Jun 24, 2021 06:00 PM

Data Science_16th Session_ Jun 26, 2021 06:00 PM

Data Science_17th Session_ Jun 29, 2021 06:00 PM

Data Science_18th Session_ July 1, 2021 06:00 PM

Data Science_19th Session_ July 3, 2021 06:00 PM

Data Science_20th Session_Jul 4, 2021 06:00 PM

DS_1st Session_22-05-2021

DS_2nd Session_25-05-2021

DS_3rd Session_27-05-2021

DS_4th Session_29-05-2021

DS_5th Session_01-05-2021

DS_6th Session_03-05-2021

DS_7th Session_5-06-2021

DS_8th Session_08-06-2021

DS_9th Session_10-06-2021

DS_10th Session

DS_11th Session_15-06-2021

DS_12th Session_17-06-2021

DS_13th Session_19-06_2021

DS_14th Session_22-06-2021

DS_15th Session_24-06-2021

DS_16th Session_26-06-2021

DS_17th Session_29-06-2021

DS_18th Session_01-07-2021

DS_19th Session_03-07-2021

DS_20th Session_04-07-2021

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

8.3: 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

10.15: Summary

File IO and Resource Managements Slide

MTA Exam Objectives

Wine Classification

Code

Data Set

Part-1

Part-2

Data Set

Internship Project Submission Link