S01 What is gen ai,ml,dl,nlp

1h 15m 51s

S02 What is gen ai life cycle and core components of gen ai

1h 1m 41s

S03 Installation and introduction to python rules of python variables comments

1h 55m 6s

S04 Data Types

53m 47s

S05 Operators

57m 11s

S06 Conditional Statements

59m 42s

S07 Loopings

57m 11s

S08 Functions

57m 13s

S09

56m 8s

S10

1h 16m 18s

S11 Object Oriented Programming Systems

58m 39s

S12 Numpy Introduction Indexing & Slicing 1D 2D

50m 35s

S13 Numpy 3D Indexing Slicing & Methods

53m 5s

S14 Numpy Methods

55m 26s

S15 Numpy Data Distributions

59m 24s

S16 Introduction To Pandas

59m 15s

S17 Pandas-Data Collection, Preparation, Cleaning & Introduction To Statistics

1h 27m 39s

S18 Statistics & Probability

47m 43s

S19 Matplotlib & Seaborn Libraries

49m 28s

S20 Exploratory Data Analysis On Tips Dataset

51m 45s

S21 Eda On Auto Mpg

57m 59s

S22 Eda On Pizza Sales Analysis

49m 54s

S23 Eda On Penguins Dataset

51m 45s

S24 Introduction To ML

58m 27s

S25 Machine Learning Regression Models

58m 14s

S26 Regression Models Hands-On

49m 28s

S27 Polynomial & Classification Algorithms Explanation

42m 32s

S28 Classification Algorithms Hands-on

1h 2m 56s

S29 Clustering Association Rule Learning Algorithms

1h 41s

S30 Association Rule Learning Algorithms

1h 34s

S31 Introduction To Deep Learning

1h 5m 36s

S32 Deep Learning Algorithms

1h 3m 1s

S33 FNN & CNN Algorithms Implementation

45m 41s

S34 RNN lSTM GRU & GANS Algorithms Hands-On P1

58m 41s

S35 RNN lSTM GRU & GANS Algorithms Hands-On P2

1h 9m 40s

S36 Email Classification By Using NLP Techniques

58m 29s

S37 Email Classification By Using NLP Techniques & Movie Recommendation Engine

58m 58s

S38 Gen AI Life Cycle & Introduction to Transformers

57m 30s

S39 Transformers Handson Large Language Models & Prompt Engineering

1h 20m 14s

S40 Langchain & Vector Databases

59m 56s