Generative Ai And Machine Learning With Python

Generative Ai And Machine Learning With Python
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Unlock the Power of Machine Learning and Generative AI

What you’ll learn

Implement and evaluate machine learning models in Python.

Apply dimensionality reduction and clustering techniques.

Understand and explain core generative AI models.

Requirements

Basic Programming in Python

Description

Overview

Section 1: Introduction

Lecture 1 Introduction Lecture

Lecture 2 Supervised Learning LAB

Lecture 3 Unsupervised Learning LAB

Lecture 4 Data Preprocessing

Lecture 5 Evaluation Metrics – Accuracy, Precision, Recall, F1-Score

Lecture 6 Evaluation Metrics – Confusion Matrix

Section 2: Module 2 Supervised Learning

Lecture 7 Linear Regression

Lecture 8 Logistic Regression

Lecture 9 Decision Trees

Lecture 10 Random Forest

Section 3: Module 3 Unsupervised Learning

Lecture 11 K Means Clustering

Lecture 12 K Means Clustering Python Code

Lecture 13 Principal Component Analysis (PCA)

Section 4: Module 4 Deep Learning

Lecture 15 Coding ANN in Python

Lecture 16 The Perceptron

Lecture 17 Convolutional Neural Networks

Lecture 18 Coding a CNN

Section 5: Module 5 Generative AI

Lecture 22 Transformer’s Attention Mechanism

Lecture 23 Understanding Transformers

Lecture 24 Understanding the Generative Adversarial Networks (GANs)

Lecture 26 Recurrent Nerual Networks

Lecture 27 Gated Recurrent Units (GRUs)

Anyone interested in AI and Machine Learning