Канал: Ahmed Yousry

Graduation project [1]: Retinal Diseases Diagnosis

Graduation project [1]: Retinal Diseases Diagnosis

Module 2 Switching Concepts

Module 2 Switching Concepts

Module 1: Basic Device Configuration Part 2

Module 1: Basic Device Configuration Part 2

Module 1: Basic Device Configuration Part 1

Module 1: Basic Device Configuration Part 1

Sentiment Analysis using Azure Language studio

Sentiment Analysis using Azure Language studio

Speech to Text using Azure Speech Studio

Speech to Text using Azure Speech Studio

OCR form using Microsoft Language Studio

OCR form using Microsoft Language Studio

Custom Question Answering on Azure Language studio

Custom Question Answering on Azure Language studio

Analyse images using Vision studio

Analyse images using Vision studio

Automated Machine learning regression using Azure studio

Automated Machine learning regression using Azure studio

Diabetes Classification project on Microsoft Azure Studio Designer

Diabetes Classification project on Microsoft Azure Studio Designer

Retrieval Augmented Generation (RAG) on Microsoft Azure

Retrieval Augmented Generation (RAG) on Microsoft Azure

Importing multiple Hugging face NLP tasks

Importing multiple Hugging face NLP tasks

Hugging face transformers importing and custom modeling

Hugging face transformers importing and custom modeling

Introduction to Hugging face Hub - Models - Datasets ...

Introduction to Hugging face Hub - Models - Datasets ...

LSTM and GRU Mutiple projects

LSTM and GRU Mutiple projects

Complete project using RNN

Complete project using RNN

Understanding RNN , LSTM, GRU

Understanding RNN , LSTM, GRU

MLflow Complete Project (Register and Models)

MLflow Complete Project (Register and Models)

Mlflow Complete Project ( Packaging )

Mlflow Complete Project ( Packaging )

Mlflow Complete Project ( Tracking )

Mlflow Complete Project ( Tracking )

Mlflow Basic Part 2

Mlflow Basic Part 2

Mlflow Basics Part 1

Mlflow Basics Part 1

Generative Adversarial Network (GAN) Complete Project

Generative Adversarial Network (GAN) Complete Project

Denoising projects Dentists and Brain tumor using AutoEncoders

Denoising projects Dentists and Brain tumor using AutoEncoders

Understanding Autoencoders

Understanding Autoencoders

Chest-x-ray pneumonia Classification, Receive Dataset from Kaggle

Chest-x-ray pneumonia Classification, Receive Dataset from Kaggle

Knee Roughness Complete project using DNN, Random splitting data

Knee Roughness Complete project using DNN, Random splitting data

Brain Stroke Classification with tuning Transfer, Ensemble Learning

Brain Stroke Classification with tuning Transfer, Ensemble Learning

Transfer Learning Understanding

Transfer Learning Understanding

Complete CNN Project using Mnist Dataset (70 k images)

Complete CNN Project using Mnist Dataset (70 k images)

Understanding Convolutional Neural Networks (CNN)

Understanding Convolutional Neural Networks (CNN)

MPG Car regression complete project using DNN

MPG Car regression complete project using DNN

Simple Regression Project using DNN

Simple Regression Project using DNN

Batches, Epochs, Gradient problems, Optimizers

Batches, Epochs, Gradient problems, Optimizers

Introduction to Deep Learning , Batch normalization Learning rate Dropout Augmentation

Introduction to Deep Learning , Batch normalization Learning rate Dropout Augmentation

Binary Breast cancer classification Project using ANN

Binary Breast cancer classification Project using ANN

Multiclassification Project using DNN for Mnist dataset

Multiclassification Project using DNN for Mnist dataset

Role of Activation function in backpropagation

Role of Activation function in backpropagation

Back propagation theory for MLP and Numerical Example

Back propagation theory for MLP and Numerical Example

Fead forward Neural Network (FFNN) and Single layer perceptron (SLP)

Fead forward Neural Network (FFNN) and Single layer perceptron (SLP)

Activations functions for ANN

Activations functions for ANN

What is Neural Networks

What is Neural Networks

Fake new Classification Complete Project using NLP

Fake new Classification Complete Project using NLP

NLP POS , Syntactic Parsing and TFIDF

NLP POS , Syntactic Parsing and TFIDF

Bag of words and N grams technique

Bag of words and N grams technique

NLP and Preprocessing steps (Tokenization, Lemmatization, stemming, ..)

NLP and Preprocessing steps (Tokenization, Lemmatization, stemming, ..)

#51: Cancer types classification

#51: Cancer types classification

#52: Glioma Grading classification

#52: Glioma Grading classification

#50: Intrusion detection full project

#50: Intrusion detection full project

#49: Complete Machine learning Project with many Algorithms Student Attrition dataset

#49: Complete Machine learning Project with many Algorithms Student Attrition dataset

Module 3: Network Security Concepts

Module 3: Network Security Concepts

#48: Dimension reduction techniques (PCA, LDA, TSNE)

#48: Dimension reduction techniques (PCA, LDA, TSNE)

Module 15: Floating and Summary static routing

Module 15: Floating and Summary static routing

#47: Outlier detection techniques (IQR, Z-Score, Isolation Forest, LOF , Elliptic Envelope)

#47: Outlier detection techniques (IQR, Z-Score, Isolation Forest, LOF , Elliptic Envelope)

#46: Feature selection (RFE, RFECF, BFS, FFS, select from model) Part 2

#46: Feature selection (RFE, RFECF, BFS, FFS, select from model) Part 2

#45: Feature selection (Kbest, select percentile, ch2) with complete project

#45: Feature selection (Kbest, select percentile, ch2) with complete project

#44: Complete ML Algorithms with Student Attrition dataset

#44: Complete ML Algorithms with Student Attrition dataset

#43: Ensemble ML Algorithms (Voting, Bagging, Boosting, Stacking )

#43: Ensemble ML Algorithms (Voting, Bagging, Boosting, Stacking )

#42: Clustering Customers Income using (DBSCAN, Hierarchical, K-means )

#42: Clustering Customers Income using (DBSCAN, Hierarchical, K-means )

#41: K-means complete project

#41: K-means complete project

Random forest Algorithm understanding

Random forest Algorithm understanding

Module 5 : Numbering systems

Module 5 : Numbering systems

#28 : Support Vector Machine and it's parameters

#28 : Support Vector Machine and it's parameters

#27 : Classification metrics (Accuracy, precision, recall, ROC AUC, Macro, Micro, and weighted)

#27 : Classification metrics (Accuracy, precision, recall, ROC AUC, Macro, Micro, and weighted)

Module 13 : Network Virtualization

Module 13 : Network Virtualization

Module 12 : Network Troubleshooting

Module 12 : Network Troubleshooting

Module 11 : Network Design

Module 11 : Network Design

#40 : silhouette Score for calculating Clustering performance

#40 : silhouette Score for calculating Clustering performance

# 39 : DBSCAN clustering Algorithm Explanation

# 39 : DBSCAN clustering Algorithm Explanation

#38 : Hierarchical clustering AGNES and DIANA

#38 : Hierarchical clustering AGNES and DIANA

#37 : Clustering concepts and Kmeans Algorithm with Example

#37 : Clustering concepts and Kmeans Algorithm with Example

#36 : Complete Project using RF and DT with EDA

#36 : Complete Project using RF and DT with EDA

Module 2 : Practical OSPF Accumulation Cost Part 3

Module 2 : Practical OSPF Accumulation Cost Part 3

Module 1 : Single Area OSPF concepts

Module 1 : Single Area OSPF concepts

#35 : Complete KNN Project with EDA

#35 : Complete KNN Project with EDA

#34 : Naive bayes Complete Project Tutorial & EDA Gaussian, Multinomial, Bernoulli NB

#34 : Naive bayes Complete Project Tutorial & EDA Gaussian, Multinomial, Bernoulli NB

#33 : Car evaluation classification using Decision Tree Project and EDA

#33 : Car evaluation classification using Decision Tree Project and EDA

#32 : KNN and Naive Bayes Algorithms

#32 : KNN and Naive Bayes Algorithms

#31 : Decision Tree Algorithm

#31 : Decision Tree Algorithm

#30 : Breast Cancer classification with correlation feature selection and EDA

#30 : Breast Cancer classification with correlation feature selection and EDA

#29 : SVM Complete project tutorial with EDA

#29 : SVM Complete project tutorial with EDA

#26 : EDA with Complete project Part 4

#26 : EDA with Complete project Part 4

#25 : EDA with Complete project Part 3

#25 : EDA with Complete project Part 3

#24 : EDA with Complete project Part 2

#24 : EDA with Complete project Part 2

# 23 : EDA (Exploratory Data Analysis) with Complete Project Part 1

# 23 : EDA (Exploratory Data Analysis) with Complete Project Part 1

#22 : Logistic regression Mathematics

#22 : Logistic regression Mathematics

#21 : Practical examples on linear regression

#21 : Practical examples on linear regression

#20 : Linear regression with multiple variables & scaling techniques & overfitting and underfiting

#20 : Linear regression with multiple variables & scaling techniques & overfitting and underfiting

#19: Linear regression with one variable Part 2

#19: Linear regression with one variable Part 2

#18: Linear regression with one variable Part 1

#18: Linear regression with one variable Part 1

#17: Pandas library

#17: Pandas library

#16 : Matplotlib Library

#16 : Matplotlib Library

#15 : NumPy Part 2

#15 : NumPy Part 2

#14 : Exception handling & NumPy Part 1

#14 : Exception handling & NumPy Part 1

#13 : Object Oriented Programming in python Part 2

#13 : Object Oriented Programming in python Part 2

# 12 : Advanced examples with Random, args and kwargs, Pickle, files, lambda, OOP

# 12 : Advanced examples with Random, args and kwargs, Pickle, files, lambda, OOP

# 11: Python with advanced examples 2 : Loops, Dictionaries, sets, and Tuples, define modules

# 11: Python with advanced examples 2 : Loops, Dictionaries, sets, and Tuples, define modules

#10 : Python with advanced examples 1: (Data types, functions, operators, sets, Lists, ...)

#10 : Python with advanced examples 1: (Data types, functions, operators, sets, Lists, ...)

# 9 : Feature Engineering (Feature Extraction & Selection Techniques) | Arabic

# 9 : Feature Engineering (Feature Extraction & Selection Techniques) | Arabic

# 8 : Statistics for Data Science (Bayes theorem, vectors, magnitude, matrices, Cosine similarity)

# 8 : Statistics for Data Science (Bayes theorem, vectors, magnitude, matrices, Cosine similarity)

Module 14 : Network Automation عربى

Module 14 : Network Automation عربى

# 7 : Statistics for Data Science, Part 2

# 7 : Statistics for Data Science, Part 2

# 6 : Statistics for Data Science part 1 | Arabic

# 6 : Statistics for Data Science part 1 | Arabic

# 5 : Anomaly / Outlier detection techniques and how to mitigate | Arabic

# 5 : Anomaly / Outlier detection techniques and how to mitigate | Arabic

#4 : Data Preprocessing techniques and Anomalies | Arabic

#4 : Data Preprocessing techniques and Anomalies | Arabic

#3 : Types of Machine learning | Arabic

#3 : Types of Machine learning | Arabic

#2 : How Machine learning work and what are it's issues | Arabic

#2 : How Machine learning work and what are it's issues | Arabic

#1 : Introduction to Machine learning | Arabic

#1 : Introduction to Machine learning | Arabic

Module 5: ACL for IPv4 configuration (Extended ACL Scenario 2) : Part 3

Module 5: ACL for IPv4 configuration (Extended ACL Scenario 2) : Part 3

Module 5: ACL for IPv4 configuration (Extended ACL Scenario 1) : Part 2

Module 5: ACL for IPv4 configuration (Extended ACL Scenario 1) : Part 2

Module 5: ACL for IPv4 configuration (standard ACL) : Part 1

Module 5: ACL for IPv4 configuration (standard ACL) : Part 1

Module 2 : OSPF Configuration Part 2

Module 2 : OSPF Configuration Part 2

Module 2 : OSPF Configuration Part 1

Module 2 : OSPF Configuration Part 1

Module 14 Part 2, Module 15: IP Static Routing

Module 14 Part 2, Module 15: IP Static Routing

Module 14: Routing Concepts, Static routing Part 1

Module 14: Routing Concepts, Static routing Part 1

Module 11: Switch Security Configuration Part 2 شرح عربى

Module 11: Switch Security Configuration Part 2 شرح عربى

Module 10: LAN Security Concepts شرح عربى

Module 10: LAN Security Concepts شرح عربى

Module 11: Switch Security Configuration Part 1 شرح عربى

Module 11: Switch Security Configuration Part 1 شرح عربى

Legacy Inter-VLAN routing, Router on a Stick ,SVIs شرح

Legacy Inter-VLAN routing, Router on a Stick ,SVIs شرح

Module 16: Network Security Fundamentals, part 2

Module 16: Network Security Fundamentals, part 2

Module 17: Build a Small Network

Module 17: Build a Small Network

How to open CISCO CCNA V7.02 Exams

How to open CISCO CCNA V7.02 Exams

Module 10 : Network Management, part 2

Module 10 : Network Management, part 2

Module 10: Network Management, part 1

Module 10: Network Management, part 1

Expected value of system defects

Expected value of system defects

Binary Tree Search and delete in C++ عربى

Binary Tree Search and delete in C++ عربى

Binary Tree insert and traverse in C++ عربى

Binary Tree insert and traverse in C++ عربى

Understanding GANs الشبكات العصبية التوليدية

Understanding GANs الشبكات العصبية التوليدية

Simple Autoencoder project on Mnist dataset عربى

Simple Autoencoder project on Mnist dataset عربى

Project: Denoising brain tumor using Autoencoder عربى

Project: Denoising brain tumor using Autoencoder عربى

project : Denoising dentists 🦷 using autoencoder عربى

project : Denoising dentists 🦷 using autoencoder عربى

Understanding Auto Encoder عربى

Understanding Auto Encoder عربى

How to calculate systems reliability #3

How to calculate systems reliability #3

Stock price prediction with LSTM (RNN) عربى

Stock price prediction with LSTM (RNN) عربى

Network performance #2

Network performance #2

Performance Measures for networking #1

Performance Measures for networking #1

#6 Deployment ML project on Railway server بالعربى

#6 Deployment ML project on Railway server بالعربى

#5 Skin cancer Deep learning project with flask بالعربى

#5 Skin cancer Deep learning project with flask بالعربى

#4 Deployment of ML project from localhost to server pythonanywhere عربى

#4 Deployment of ML project from localhost to server pythonanywhere عربى

#3 Machine Learning project with flask مشروع تنبؤ قيم بالفلاسك

#3 Machine Learning project with flask مشروع تنبؤ قيم بالفلاسك

#2 Six Scenarios of using flask routes

#2 Six Scenarios of using flask routes

#1 Flask framework introduction

#1 Flask framework introduction

Complete project of stroke classifcation using transfer learning models.

Complete project of stroke classifcation using transfer learning models.

Classification of dogs and cats project

Classification of dogs and cats project

تعليمات للامتحان العملى

تعليمات للامتحان العملى

Lecture 5 : MySQL with PHP

Lecture 5 : MySQL with PHP

Lecture 4 : SQL Part 2

Lecture 4 : SQL Part 2

Lecture 4 : SQL Part 1

Lecture 4 : SQL Part 1

Lecture 3 : PHP Part 2

Lecture 3 : PHP Part 2

Lecture 3 : PHP Part 3

Lecture 3 : PHP Part 3

Lecture 3 : PHP Part 1

Lecture 3 : PHP Part 1

Lecture 2: CSS Part 4

Lecture 2: CSS Part 4

Lecture 2: CSS Part 3

Lecture 2: CSS Part 3

Lecture 2 : CSS Part 1

Lecture 2 : CSS Part 1

Lecture 2: CSS Part 2

Lecture 2: CSS Part 2

Lecture 1 : HTML Part 3

Lecture 1 : HTML Part 3

Lecture 1 : HTML Part 2

Lecture 1 : HTML Part 2

Lecture 1 : HTML Part 1

Lecture 1 : HTML Part 1

Multiple Vlans on wireless networks : Part 2 عربى

Multiple Vlans on wireless networks : Part 2 عربى

john the ripper tool عربي

john the ripper tool عربي

Multiple Vlans on wireless networks : Part 1 عربى

Multiple Vlans on wireless networks : Part 1 عربى

Nmap tool for Network scanning

Nmap tool for Network scanning

IEEE 802.1x Protocol in wireless network عملى

IEEE 802.1x Protocol in wireless network عملى

Network Applications : FTP, HTTP عملى

Network Applications : FTP, HTTP عملى

Lab 3 : Wireless Lan Controller (WLC) Configuration عربى

Lab 3 : Wireless Lan Controller (WLC) Configuration عربى

Telent Connection (Client , Server) and TCP protocol

Telent Connection (Client , Server) and TCP protocol

Communication Protocols, Wireshark for analysing networks.

Communication Protocols, Wireshark for analysing networks.

Workstation connection between Windous 7 and Windows server 2008

Workstation connection between Windous 7 and Windows server 2008

Lab 2: Connecting Different Wireless Networks عربى

Lab 2: Connecting Different Wireless Networks عربى

لقاء الذكاء الاصطناعى رقم 1

لقاء الذكاء الاصطناعى رقم 1

Hacking Concepts

Hacking Concepts

Lab 1 : Initial wireless configuration عربى

Lab 1 : Initial wireless configuration عربى

Genetic Algorithm Eight Queens Problem Part 4

Genetic Algorithm Eight Queens Problem Part 4

ECG Classification using Deep Learning Part 3 شرح

ECG Classification using Deep Learning Part 3 شرح

ECG Classification using Deep Learning : Part 2 شرح

ECG Classification using Deep Learning : Part 2 شرح

ECG Classification using Deep Learning : Part 1 عربى

ECG Classification using Deep Learning : Part 1 عربى

Static Routing بالعربى

Static Routing بالعربى

Genetic Algorithm Eight Queens Problem Part 3 بالعربى

Genetic Algorithm Eight Queens Problem Part 3 بالعربى

Genetic Algorithm Eight Queens Problem Part 2 بالعربى

Genetic Algorithm Eight Queens Problem Part 2 بالعربى

Genetic Algorithm : Eight Queens Problem Part 1 بالعربى

Genetic Algorithm : Eight Queens Problem Part 1 بالعربى

CCNA : FLSM (Fixed Lenght Subnet mask) with secured network. عربى

CCNA : FLSM (Fixed Lenght Subnet mask) with secured network. عربى

CCNA : VLSM ( Variable Lenght Subnet Mask ) بالعربى

CCNA : VLSM ( Variable Lenght Subnet Mask ) بالعربى

UCS ( Uniform Cost Search ) شرح عملى

UCS ( Uniform Cost Search ) شرح عملى

UCS ( Uniform Cost Search ) شرح نظرى

UCS ( Uniform Cost Search ) شرح نظرى

Greedy best first Algorithm

Greedy best first Algorithm

A Star (A*) Search : Part 2 عملى

A Star (A*) Search : Part 2 عملى

A Star (A*) Search : Part 1 نظرى

A Star (A*) Search : Part 1 نظرى

Extract peats and its classess from ECG signal : Part 3

Extract peats and its classess from ECG signal : Part 3

Extract peats and its classess from ECG signal : Part 2

Extract peats and its classess from ECG signal : Part 2

Extract peats and its classess from ECG signal : Part 1 استخراج النبضات وتصنيفها

Extract peats and its classess from ECG signal : Part 1 استخراج النبضات وتصنيفها

Uniform Cost Search (UCS) in Python شرح عملى

Uniform Cost Search (UCS) in Python شرح عملى

Uniform Cost Search (UCS) شرح نظرى

Uniform Cost Search (UCS) شرح نظرى

BFS, DFS in python تطبيق عملى

BFS, DFS in python تطبيق عملى

Breadth First Search (BFS), Depth First Search (DFS) شرح نظرى

Breadth First Search (BFS), Depth First Search (DFS) شرح نظرى

Bread First Traversal (BFT), Depth First Traversal ( DFT ) شرح

Bread First Traversal (BFT), Depth First Traversal ( DFT ) شرح

9.MNE Library for reading EEG Signals عربى

9.MNE Library for reading EEG Signals عربى

8.Splitting ECG Signal to Test and Train

8.Splitting ECG Signal to Test and Train

7.Finishing WFDB library for reading ECG

7.Finishing WFDB library for reading ECG

CCNA : Connect different LANS with Router and SSH configuration عربى شرح

CCNA : Connect different LANS with Router and SSH configuration عربى شرح