Канал: Emre KOCYIGIT

Feature Engineering Explained - Feature Learning - Conclusion with a brief summary

Feature Engineering Explained - Feature Learning - Conclusion with a brief summary

Feature Engineering Explained - Feature Extraction - Vectorization, bs4 and PCA Examples in Python

Feature Engineering Explained - Feature Extraction - Vectorization, bs4 and PCA Examples in Python

Feature Engineering Explained - Feature Selection - Examples in Python

Feature Engineering Explained - Feature Selection - Examples in Python

Feature Engineering Explained - Feature Construction - Examples in Python

Feature Engineering Explained - Feature Construction - Examples in Python

Feature Engineering Explained - Introduction and Feature Improvement in Python

Feature Engineering Explained - Introduction and Feature Improvement in Python

Machine Learning Projects in Python - Binary Classification - End-to-End Jupyter Notebook

Machine Learning Projects in Python - Binary Classification - End-to-End Jupyter Notebook

Ultimate LLM Guide: From Theory to Practice - Part 3 Introduction - LLM Family, Transformer

Ultimate LLM Guide: From Theory to Practice - Part 3 Introduction - LLM Family, Transformer

Ultimate LLM Guide: From Theory to Practice - Part 2 Introduction - Emergent Abilities, Power of LLM

Ultimate LLM Guide: From Theory to Practice - Part 2 Introduction - Emergent Abilities, Power of LLM

Ultimate LLM Guide: From Theory to Practice - Part 1 Introduction

Ultimate LLM Guide: From Theory to Practice - Part 1 Introduction

Deep Learning - Question 11 - AI Quantization

Deep Learning - Question 11 - AI Quantization

Deep Learning - Question 10 - Dropout Explained | A regularization technique against overfitting

Deep Learning - Question 10 - Dropout Explained | A regularization technique against overfitting

Deep Learning - Question 9 - Briefly Explain CPU vs GPU vs TPU

Deep Learning - Question 9 - Briefly Explain CPU vs GPU vs TPU

Deep Learning - Question 8 - How do you decide the right number of layers and neurons?

Deep Learning - Question 8 - How do you decide the right number of layers and neurons?

Deep Learning - Question 7 - Can you explain the effect and role of the learning rate?

Deep Learning - Question 7 - Can you explain the effect and role of the learning rate?

Deep Learning - Question 6 - Can you briefly explain "epoch", "batch size" and "iteration" terms?

Deep Learning - Question 6 - Can you briefly explain "epoch", "batch size" and "iteration" terms?

Deep Learning - Question 5 - How can you know if the model is overfitting? How to prevent it?

Deep Learning - Question 5 - How can you know if the model is overfitting? How to prevent it?

Deep Learning - Question 4 - What is the difference between "hyper-parameter" and "parameter"?

Deep Learning - Question 4 - What is the difference between "hyper-parameter" and "parameter"?

Deep Learning - Question 3 - What is the role of activation function in DL? Types & how to decide

Deep Learning - Question 3 - What is the role of activation function in DL? Types & how to decide

Genetic Algorithm with Python - Source Code Explained - Knapsack Problem

Genetic Algorithm with Python - Source Code Explained - Knapsack Problem

Deep Learning - Question 2 - Can you explain the basic elements of ANN (Artificial Neural Network)?

Deep Learning - Question 2 - Can you explain the basic elements of ANN (Artificial Neural Network)?

Deep Learning - Question 1 - What are the differences and similarities between DL and ML?

Deep Learning - Question 1 - What are the differences and similarities between DL and ML?

Machine Learning: Linear Regression | Jupyter Notebook Implementation - Python Source Code Explained

Machine Learning: Linear Regression | Jupyter Notebook Implementation - Python Source Code Explained

Machine Learning: Linear Regression | How to evaluate the model, error metrics with examples

Machine Learning: Linear Regression | How to evaluate the model, error metrics with examples

Machine Learning: Linear Regression | Fundamentals, updating weights, loss functions, flowchart

Machine Learning: Linear Regression | Fundamentals, updating weights, loss functions, flowchart

Machine Learning: Linear Regression | Fundamentals, Notation, Equations, Error, Types

Machine Learning: Linear Regression | Fundamentals, Notation, Equations, Error, Types

Machine Learning: Linear Regression | Introduction

Machine Learning: Linear Regression | Introduction

Explainable AI - XAI : A Summary

Explainable AI - XAI : A Summary

Learnings(s) in ML - Transfer | Distributed | Federated | Online | Association Rule Learning

Learnings(s) in ML - Transfer | Distributed | Federated | Online | Association Rule Learning

18 - End-to-End Machine Learning Project -Phishing Detection - Develop & Deploy ML app in Streamlit

18 - End-to-End Machine Learning Project -Phishing Detection - Develop & Deploy ML app in Streamlit

17 - End-to-End Machine Learning Project - Phishing Detection - ML Models, K-fold cross validation

17 - End-to-End Machine Learning Project - Phishing Detection - ML Models, K-fold cross validation

16 - End-to-End Machine Learning Project - Phishing Detection - Building ML Models, Confusion Matrix

16 - End-to-End Machine Learning Project - Phishing Detection - Building ML Models, Confusion Matrix

15 - End-to-End Machine Learning Project - Phishing Detection - Data Collection and Preparation

15 - End-to-End Machine Learning Project - Phishing Detection - Data Collection and Preparation

Genetic Algorithm with Python - Source Code Explained - Travelling Salesman Problem - Part 2

Genetic Algorithm with Python - Source Code Explained - Travelling Salesman Problem - Part 2

Genetic Algorithm with Python - Introduction and Fundamentals - Travelling Salesman Problem - Part 1

Genetic Algorithm with Python - Introduction and Fundamentals - Travelling Salesman Problem - Part 1

14 - End-to-End Machine Learning Project - Phishing Detection - Feature Extraction with Python

14 - End-to-End Machine Learning Project - Phishing Detection - Feature Extraction with Python

13 - End-to-End Machine Learning Project - Content-based features by BeautifulSoup module in Python

13 - End-to-End Machine Learning Project - Content-based features by BeautifulSoup module in Python

12 - End-to-End Machine Learning Project - Phishing Detection - Web Scraping/Creating a HTML Dataset

12 - End-to-End Machine Learning Project - Phishing Detection - Web Scraping/Creating a HTML Dataset

11 - End-to-End Machine Learning Project - Phishing Detection - How to Scrape the Website Content

11 - End-to-End Machine Learning Project - Phishing Detection - How to Scrape the Website Content

8 - End-to-End Machine Learning Project - Phishing Detection - Introduction

8 - End-to-End Machine Learning Project - Phishing Detection - Introduction

10 - End-to-End Machine Learning Project - Phishing Detection - Designing the Roadmap and the Flow

10 - End-to-End Machine Learning Project - Phishing Detection - Designing the Roadmap and the Flow

9 - End-to-End Machine Learning Project - Phishing Detection - How to start & understand the problem

9 - End-to-End Machine Learning Project - Phishing Detection - How to start & understand the problem

7 - Fundamentals of Machine Learning - How to evaluate ML? Testing ML? ML Performance Measures

7 - Fundamentals of Machine Learning - How to evaluate ML? Testing ML? ML Performance Measures

6 - Fundamentals of Machine Learning - ML Challenges and Possible Solutions

6 - Fundamentals of Machine Learning - ML Challenges and Possible Solutions

5 - Fundamentals of Machine Learning - ML Types - Supervised, Unsupervised, Online Learning etc.

5 - Fundamentals of Machine Learning - ML Types - Supervised, Unsupervised, Online Learning etc.

4 - Fundamentals of Machine Learning - ML application examples

4 - Fundamentals of Machine Learning - ML application examples

3 - Fundamentals of Machine Learning - Difference of ML? When ML? Why popular and successful?

3 - Fundamentals of Machine Learning - Difference of ML? When ML? Why popular and successful?

2 - Fundamentals of Machine Learning - What is Machine Learning?

2 - Fundamentals of Machine Learning - What is Machine Learning?

1 - How to use Machine Learning in your research/project - Introduction

1 - How to use Machine Learning in your research/project - Introduction