12:05

How Support Vector Machine (SVM) Works ?|Types of SVM| Linear SVM |Non-Linear SVM

03:58

Machine Learning explained simple|What is Machine learning!Learn ML with astory| ?|ML in layman term

06:32

Decision Tree Hyperparameters Explained | max_depth, min_samples_leaf, max_features, criterion

09:23

Entropy Explained in Simple Terms | Understanding ML and Information Theory|Entropy solved

05:33

Generative AI Explained: Language Models, Pre-training, and Foundation Models | Start Small, Go Big!

05:09

Statistics for Data Science|Introduction to Descriptive and Inferential Statistics | Statistics

03:01

Gini Index Explained|What is Gini Index?|Gini Index in Decision Tree|How Decision Tree works? |Story

02:29

Forward and Back Propagation in layman term||Back Propagation in Neural Networks|Deep learning easy

02:33

What is Virtual Reality?? || Virtual Reality in 2 minutes

01:09

What is Deep learning?/Deep Learning in layman term

00:34

What are Reducible Errors//Bias//Errors in ML

00:19

Bias in Machine Learning🤔/What is Bias/Bias in 30 seconds

00:58

Types of Analytics #machinelearning #education #analytics

11:24

underfitting and overfitting|ML made Easy|ML for beginners #coding #education #python #ml #ai #data

11:12

Bias|Variance|Low Bias|Bias Variance Tradeoff #coding #ai #ml #education #bias #variance #complexity

10:13

Supervised and Unsupervised Learning|Regression and Classification|Clustering |Association| PCA

06:51

Data Science Project Cycle Explained: Predicting Stock Prices with Machine Learning|#coding

19:18

Confusion Matrix made easy|Why is confusion matrix so confusing|Learn Confusion matrix for free #ml

20:24

Plotly-A complete Tutorial|data Visualization with Python|Is Plotly better than matplotlib &seaborn?

20:29

What is linear regression||Complete Linear Regression in 15 minutes|Limitations and advantages

18:26

Data Visualization in 2024|The Ultimate Guide|The Power of Visual Storytelling|Plotly Python graphs

12:46

Multicollinearity in Multiple Linear Regression||What is Multicollinearity?||Multicollinearity

12:25

Multiple Linear Regression with Python

09:45

Adjusted Rsquared -Explained!No more confusion with Rsquared & Adjusted R squared #machinelearning

08:39

Simple Linear Regression with Python/Hands-on linear regression/Practical implementation

07:53

Theory behind Linear Regression,clearly Explained!!! #machinelearning #machinelearningjobs #ml

12:46

R squared explained simple!! R squared clearly explained #machinelearning #rsquared #datascience

06:04

RAG vs Self-RAG: The Future of AI Explained in Simple Terms #genai #promptengineering

02:12

NLP in a minute|| What is NLP || A simple explanation on Natural Language Processing(NLP)

04:28

What is Prompt engineering??|| Prompt Engineering in layman term||How to get the answers from gpt?

13:05

Ridge vs Lasso Regression: Simple Analogies to Master Machine Learning

15:56

Capstone Project for Machine Learning 🔍 | Binary Classification in Machine Learning |ML from scratch

05:02

RMSE explained in simple terms |BE PREPARED for Machine Learning|MSE #datascience #machinelearning

01:57

BE PREPARED Machine Learning Engineer interview questions|How Decision Tree works #datascience #ai

03:05

Advantages of Decision tree |BE PREPARED Machine Learning Engineer interview questions|#datascience

03:22

Limitations of Decision Tree|BE PREPARED Machine Learning Engineer interview questions|#datascience

01:11

BE PREPARED Machine Learning Engineer interview questions|Decision Tree in Layman Term|#datascience

06:11

Best practices for crafting prompts

05:12

Evolution of AI|Rule-based to Generative AI!Generative AI growth |Prompt Engineering

01:50

Explicit and implicit prompt/Types of Prompt #chatgpt #chatgpt4 #generativeai #promptengineering

04:14

Mastering the Art of Prompt Engineering and ChatGPT#chatgpt #promptengineering #generativeai #ai

00:49

How to Open a CSV File in SQL: A Step-by-Step Guide |Import excel file to Mysql|read csv in MYSQL

11:48

Demystifying Autoencoders: Unlocking the Power of Neural Network Compression #autoencoders #genai

01:50

Pie Chart with plotly||Mastering Pie Charts with Plotly: Create Stunning Data Visualizations

13:21

Naive Bayes Practical

17:06

KNN in Python | KNearest Neighbors in Python |Machine Learning

32:30

Logistic Regression Practical| Logistic Regression in Python \ Machine Learning | Data Science

22:33

Theory of Logistic Regression | Logistic Regression Machine Learning Tutorial | Classification

06:22

Expectation and variance in Probability | Probability Theory |

11:25

Baye's Theorem | Learn Baye's Theorem easily | Why Baye's Theorem is important?

14:26

Marginal and Conditional Probability| Learn Probability from scratch

11:26

Event and type of events\Probability||Mutually Exclusive events| Independent events

05:51

Introduction to Probability| Probability| Probability Theory/Learn Probability in an easy way

20:27

Handling missing data easily explained| Missing Data Imputation Techniques| Machine Learning

37:01

Pandas-Part 2 || Data Science from scratch || Pro in Pandas #pandas #datascience #machinelearning

29:46

Introduction to Pandas | Pandas Series | Pandas Data Frame | DataScience for beginners

12:05

BMI Calculator using Python|| Python Project for Beginners

03:04

How to add files to github|| Displaying projects in Github

09:50

#4.Python Tutorial || Type casting in Python || Explicit and Implicit conversion

14:15

#3.Beginner's guide to Python Variables || Python for Beginners || Python for Data Science