Imv-Coincent

Chapter 1 - Introduction to Artificial Intelligence

Introduction and Basic Setup

Python basics 1

Python basics -2

Python basics -3

Python basics -4

Python -basic-5

Introductions to AI

DEEP LEARNING-1

2.1 Introduction to Python

2.2 Introduction to Python Programming

2.3 Basis of Python Programming

2.4 Python Programming - 1

2.4 Python Programming - 1

2.5 Python Programming - 2

3.1 Introduction to Matplotlib

3.2 Matplotlib Plots

3.3 Matplotlib Styles - 1

3.4 Matplotlib Styles - 2

3.5 Matplotlib Plots Variants

4.1 Introduction to Numpy

4.2 Numpy Types

4.3 Numpy Arrays

4.4 Numpy Array Attributes

4.5 Numpy Math

4.6 Numpy Operations

5.1 Introduction to Pandas

5.2 Pandas Reading Data

5.3 Pandas Dataman - 1

5.4 Pandas Dataman - 2

5.5 Pandas Dataman - 3

6.1 Introduction to Machine Learning_UnSupervised Learning

7 Introduction to Tensorflow

7.1 Introduction to Keras

7.2 Clustering

7.3 Introduction to Deep Learning

7.4 Natural Language Processing

7.5 Reinforcement Machine Learning

Registration Instruction For IBM

Steps to register- IBM Education

First Live Session-Aug 4, 2022 08:00 PM

2nd Live Session- Aug 5, 2022 08:00 PM

3rd Live Session- Aug 6, 2022 08:00 PM

4th Live Session- Aug 8, 2022 08:00 PM

5th Live Session- Aug 9, 2022 08:00 PM

Internship orientation

Internship Project -Fashion MNIST Data Classification

SESSION- 1

SESSION-2

SESSION-3

SESSION-4

SESSION-5

Internship Orientation Meeting Recordings

Fashion MNIST LIVE SESSION RECORDINGS

Fashion MNIST Data Classification

Deep learning project

INTERNSHIP PROJECT SUBMISSIOM DETAILS