1 Machine Learning Course! The Full Roadmap for Beginners

2 Understand Machine Learning Like Never Before! Core Concepts, Python Examples & Real World Applic

3. Set Up Your Python Environment! Master Poetry for Easy Dependency Management

4 Linear Regression Made Easy! Step by Step Guide with Numerical Examples & Python Code

5 Linear Regression Metrics Demystified RMSE, MAE, and R² Like Never Before Step by Step Guide

6 Polynomial Regression with Gradient Descent Explained Step by Step Tutorial with Numerical Exampl

7. Lasso vs Ridge Understanding L1& L2 Regularization in Linear Regression with Numerical Example &🐍

Logistic Regression Explained Step by Step with Numerical Example & Python Code Gradient Descent

Decision Trees Explained Step by Step Numerical Example + Python Code Machine Learning Tutorial

Naïve Bayes Step by Step Numerical Example + Python Code Explained

Support Vector Machine SVM with Gradient Descent Step by Step Numerical Example + Python

Multi Class SVM Made Simple One vs Rest vs One vs One Explained with Python Step by Step Tutorial!

KNN Simplified Learn K Nearest Neighbors with Python Code & Real World Examples

🎯 Precision, Recall, F1-Score & More: Binary Classification Metrics Explained 📈💻

🏆 ROC Curve & AUC Demystified – A Practical Guide with Python Code!

Binary Classification Real Data Build, Train & Evaluate ML Models with Python Like a Pro

Step by Step Multi Class Classification in Python Beginner to Advanced 🎯

K-Means Clustering with Numerical Example: Python Code + Sklearn | Step-by-Step Tutorial!

📊 Hierarchical Clustering Step-by-Step: A Beginner's Guide with Numerical Examples & Python Code 🚀🐍

🚀 Clustering Metrics The Silhouette Score Explained Simply with Code! 💻

PCA Explained Step by Step Numerical Example for Beginners & Pros 🧮📊

Incremental PCA Explained Step-by-Step | Numerical Example for Beginners & Experts

🌳 Random Forest Explained Step by Step with Numerical Example & Python Code! 🚀 Beginner to Pro 🌳

Build a Scalable Random Forest Pipeline: Step-by-Step Project Structure Tutorial

AdaBoost Step by Step! 🚀 Easy Explanation + Python Code

🧠✨Build a Scalable ML System: AdaBoost Integration Step-by-Step!

🚀 Gradient Boosting Regressor Explained 🔥 Step by Step Tutorial with Numerical Example & Python Code

Gradient Boosting Classifier Explained Step by Step with numerical example + Python

XGBoost Made Easy 🚀 | Build Smart Classifiers Step by Step with Real Example

XGBoost Integration in a Real ML Pipeline 🔥 Clean Architecture + Label Handling Step by Step

XGBoost Regression Step by Step 🧠📊 For Beginners & Pros Full Tutorial with Examples

Cross-Validation: The Key to ML Model Success

🚨 Why Your Model Fails: Fixing Overfitting & Underfitting Simply Explained 🎯💡

Neural Networks Explained Without Complex Math

Backpropagation Basics Everyone Can Understand

If You’re Still Confused About Loss Functions: Watch This

Are You Counting Neural Network Parameters the Right Way

Essential Convolutional Neural Networks (CNN) Skills for Deep Learning Success

How Convolutional Layers Work Simple & Clear with Animations

How CNN Filters Really Work 🧠 Deep Learning Made Simple

❓ Grayscale vs RGB: How Do They Affect CNN Parameters? (You Won’t Believe the Answer!)

Why Every CNN Needs Pooling Layers (Quick Guide)

What Are Activation Functions, and Why Are They the Heart of Neural Networks

VGG16 Explained with PyTorch From Zero to Hero With PyTorch (part 1)

Training VGG16 with PyTorch From Zero to Hero Part 2

Why Is Dropout So Important in Deep Learning

How Batch Normalization Makes Your Neural Networks Stronger and Faster

Transfer Learning in PyTorch Explained Step by Step 🚀 Beginner to Pro in One Video

How to Extract Features from ResNet18 Layers | Step-by-Step Deep Learning Guide

How Does 1x1 Convolution Save Computation? | Deep Learning Trick 🚀

🚀 ResNet18 Explained Simply Skip Connections, Residuals & Intuition

Build ResNet 18 from Scratch in PyTorch 🧠 Beginner Friendly Deep Learning Tutorial

Predict House Prices Like a Pro 💻📈 XGBoost for Beginners & Experts Machine Learning Project

Interactive House Price Predictor Built with Streamlit

Detect Spam Emails Like a Pro with XGBoost ⚡ Python Machine Learning Project for Beginners

📧 Build a Spam Email Detector App in Python Streamlit + XGBoost 🔥

Customer Segmentation Made Easy 💥 KMeans, DBSCAN, GMM Clustering Tutorial in Python 🐍 Machine Lea

🚀 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python & Numerica

🚀 Machine Learning Full Course for Beginners | Python + Projects (Part 1)

🚀 Part 2 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python