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Welcome to Deep Knowledge – your go-to channel for mastering AI, machine learning, DevOps, and Azure cloud. Welcome to Deep Knowledge – your go-to hub for ma...
🔥 Boost Code Quality with Pre Commit Hooks + Poetry 🚀 Python Dev Tips
Python Dependency Management with Poetry 🐍 Beginner to Pro Masterclass 2025
🚀 Install Python & Essential Tools on Windows Using pyenv Beginner to Pro Tutorial
What is Computer Vision Why Python is the Ultimate Tool
Python for Computer Vision Course: Build Your Own Image Toolkit from Scratch
🚀 Part 2 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python
🚀 Part 1 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python
🚀 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python & Numerica
Customer Segmentation Made Easy 💥 KMeans, DBSCAN, GMM Clustering Tutorial in Python 🐍 Machine Lea
📧 Build a Spam Email Detector App in Python Streamlit + XGBoost 🔥
Detect Spam Emails Like a Pro with XGBoost ⚡ Python Machine Learning Project for Beginners
Interactive House Price Predictor Built with Streamlit
Skip Connections in ResNet Explained Visually 🚀 Beginner to Pro Deep Learning Animation
Predict House Prices Like a Pro 💻📈 XGBoost for Beginners & Experts Machine Learning Project
Build ResNet 18 from Scratch in PyTorch 🧠 Beginner Friendly Deep Learning Tutorial
🚀 ResNet18 Explained Simply Skip Connections, Residuals & Intuition
How Does 1x1 Convolution Save Computation? | Deep Learning Trick 🚀
Convolution Explained Visually 🎯 Beginners to Pros CNNs, Feature Maps & Filters Simplified
How to Extract Features from ResNet18 Layers | Step-by-Step Deep Learning Guide
Transfer Learning in PyTorch Explained Step by Step 🚀 Beginner to Pro in One Video
Layer Normalization EXPLAINED with Animation
Layer Normalization 🔍 Explained Simply But Deeply!
Batch Normalization Explained with Animations No Sound
How Batch Normalization Makes Your Neural Networks Stronger and Faster
Why Is Dropout So Important in Deep Learning
Training VGG16 with PyTorch From Zero to Hero Part 2
VGG16 Explained with PyTorch From Zero to Hero With PyTorch (part 1)
What Are Activation Functions, and Why Are They the Heart of Neural Networks
Why Every CNN Needs Pooling Layers (Quick Guide)
❓ Grayscale vs RGB: How Do They Affect CNN Parameters? (You Won’t Believe the Answer!)
Why Does Everyone Mess Up CNN Output Calculations? Watch to Avoid It! #cnn
How CNN Filters Really Work 🧠 Deep Learning Made Simple
L1 vs L2 Regularization 💡 Which One Saves Your Model #machinelearning #Regularization
Accuracy Is Lying! Why F1, Precision & Recall Matter More #machinelearning #MachineLearningExplained
How Convolutional Layers Work Simple & Clear with Animations
Why Your AI Model Fails Overfitting & Underfitting in 60 Sec #machinelearning #overfitting
Unsupervised Learning Explained in 60 Seconds! 🧠📊 No Labels, Just Patterns
🤖 What is Supervised Learning Learn ML in 60 Seconds #supervisedlearning #machinelearning
Essential Convolutional Neural Networks (CNN) Skills for Deep Learning Success
Are You Counting Neural Network Parameters the Right Way
If You’re Still Confused About Loss Functions: Watch This
Backpropagation Basics Everyone Can Understand
Neural Networks Explained Without Complex Math
🚨 Why Your Model Fails: Fixing Overfitting & Underfitting Simply Explained 🎯💡
The already uploaded videos and code
Cross-Validation: The Key to ML Model Success
XGBoost Regression Step by Step 🧠📊 For Beginners & Pros Full Tutorial with Examples
XGBoost Integration in a Real ML Pipeline 🔥 Clean Architecture + Label Handling Step by Step
XGBoost Made Easy 🚀 | Build Smart Classifiers Step by Step with Real Example
Gradient Boosting Classifier Explained Step by Step with numerical example + Python
🚀 Gradient Boosting Regressor Explained 🔥 Step by Step Tutorial with Numerical Example & Python Code
🧠✨Build a Scalable ML System: AdaBoost Integration Step-by-Step!
AdaBoost Step by Step! 🚀 Easy Explanation + Python Code
Build a Scalable Random Forest Pipeline: Step-by-Step Project Structure Tutorial
🌳 Random Forest Explained Step by Step with Numerical Example & Python Code! 🚀 Beginner to Pro 🌳
Incremental PCA Explained Step-by-Step | Numerical Example for Beginners & Experts
PCA Explained Step by Step Numerical Example for Beginners & Pros 🧮📊
🚀 Clustering Metrics The Silhouette Score Explained Simply with Code! 💻
📊 Hierarchical Clustering Step-by-Step: A Beginner's Guide with Numerical Examples & Python Code 🚀🐍
K-Means Clustering with Numerical Example: Python Code + Sklearn | Step-by-Step Tutorial!
Step by Step Multi Class Classification in Python Beginner to Advanced 🎯
Binary Classification Real Data Build, Train & Evaluate ML Models with Python Like a Pro
🏆 ROC Curve & AUC Demystified – A Practical Guide with Python Code!
🎯 Precision, Recall, F1-Score & More: Binary Classification Metrics Explained 📈💻
KNN Simplified Learn K Nearest Neighbors with Python Code & Real World Examples
Multi Class SVM Made Simple One vs Rest vs One vs One Explained with Python Step by Step Tutorial!
Support Vector Machine SVM with Gradient Descent Step by Step Numerical Example + Python
Naïve Bayes Step by Step Numerical Example + Python Code Explained
Decision Trees Explained Step by Step Numerical Example + Python Code Machine Learning Tutorial
Logistic Regression Explained Step by Step with Numerical Example & Python Code Gradient Descent
7. Lasso vs Ridge Understanding L1& L2 Regularization in Linear Regression with Numerical Example &🐍
6 Polynomial Regression with Gradient Descent Explained Step by Step Tutorial with Numerical Exampl
5 Linear Regression Metrics Demystified RMSE, MAE, and R² Like Never Before Step by Step Guide
4 Linear Regression Made Easy! Step by Step Guide with Numerical Examples & Python Code
3. Set Up Your Python Environment! Master Poetry for Easy Dependency Management
2 Understand Machine Learning Like Never Before! Core Concepts, Python Examples & Real World Applic
1 Machine Learning Course! The Full Roadmap for Beginners
🚀 Publish Python Packages to Azure Artifacts with Twine & Poetry | Azure Pipelines Tutorial 🐍
Deleting Storage Account Details in Azure ML Using CLI v2
Deleting Cancel Job in Azure ML Using CLI v2
How to Show Job Details Using Azure CLI v2
Listing All Jobs in Azure ML Using CLI v2
Deleting a Compute in Azure ML Using Azure CLI v2
How to show Compute Resources in Azure ML Using CLI v2
How to List Compute Resources in Azure ML Using CLI v2
Set Up C/C++ in Visual Studio Code: Step-by-Step Tutorial
Viewing Dataasset Details in Azure ML Using CLI v2
How to List Data Assets in Azure ML Using CLI v2
Deleting a Datastore in Azure ML Using Azure CLI v2
Viewing Datastore Details in Azure ML Using CLI v2
Listing All Datastores in Azure ML Using CLI v2
Deleting Container Resources in Azure ML Using CLI v2
Listing All Containers in Azure ML Using CLI v2
Viewing Storage Account Details in Azure ML Using CLI v2
Listing All Storage Accounts in Azure ML Using CLI v2
Deleting an Azure ML Workspace Using Azure CLI v2
Viewing Workspace Details in Azure ML Using CLI v2
How to List Workspaces in Azure ML Using Azure CLI v2
How to Delete a Resource Group in Azure ML via Azure CLI v2
How to Show Resource Group Details Using Azure CLI v2
🚀 Part 1 Machine Learning Full Course for Beginners to Pros Intuitive ML Explained with Python
838 回視聴 - 6 日前
End-to-End MLOps Pipeline: Azure ML & DevOps Best Practices | Model Training to Deployment 🚀
584 回視聴 - 3 か月前
Simple Explained: Polynomial Regression, Overfitting, underfitting , Bias , Variance
435 回視聴 - 4 年前
Logistic Regression Explained Step by Step with Numerical Example & Python Code Gradient Descent
316 回視聴 - 2 か月前
Support Vector Machine SVM with Gradient Descent Step by Step Numerical Example + Python
293 回視聴 - 2 か月前
🚀 Master Self-Hosted Agent Pools: Create & Configure Build Agents Like a Pro! 💻✨
270 回視聴 - 5 か月前
Template Pull Request Descriptions in Azure DevOps with Templates: Best Practices Unveiled
226 回視聴 - 5 か月前
Essential Convolutional Neural Networks (CNN) Skills for Deep Learning Success
218 回視聴 - 1 か月前