674 подписчиков
48 видео
1 - How to use Machine Learning in your research/project - Introduction
Feature Engineering Explained - Feature Selection - Examples in Python
Feature Engineering Explained - Feature Extraction - Vectorization, bs4 and PCA Examples in Python
Ultimate LLM Guide: From Theory to Practice - Part 2 Introduction - Emergent Abilities, Power of LLM
Deep Learning - Question 9 - Briefly Explain CPU vs GPU vs TPU
15 - End-to-End Machine Learning Project - Phishing Detection - Data Collection and Preparation
4 - Fundamentals of Machine Learning - ML application examples
13 - End-to-End Machine Learning Project - Content-based features by BeautifulSoup module in Python
6 - Fundamentals of Machine Learning - ML Challenges and Possible Solutions
Machine Learning: Linear Regression | Jupyter Notebook Implementation - Python Source Code Explained
Deep Learning - Question 3 - What is the role of activation function in DL? Types & how to decide
Deep Learning - Question 11 - AI Quantization
Deep Learning - Question 7 - Can you explain the effect and role of the learning rate?
Genetic Algorithm with Python - Source Code Explained - Knapsack Problem
9 - End-to-End Machine Learning Project - Phishing Detection - How to start & understand the problem
Deep Learning - Question 2 - Can you explain the basic elements of ANN (Artificial Neural Network)?
Machine Learning: Linear Regression | Fundamentals, updating weights, loss functions, flowchart
Ultimate LLM Guide: From Theory to Practice - Part 3 Introduction - LLM Family, Transformer
Deep Learning - Question 5 - How can you know if the model is overfitting? How to prevent it?
Genetic Algorithm with Python - Source Code Explained - Travelling Salesman Problem - Part 2
18 - End-to-End Machine Learning Project -Phishing Detection - Develop & Deploy ML app in Streamlit
14 - End-to-End Machine Learning Project - Phishing Detection - Feature Extraction with Python
11 - End-to-End Machine Learning Project - Phishing Detection - How to Scrape the Website Content
Feature Engineering Explained - Introduction and Feature Improvement in Python
Deep Learning - Question 10 - Dropout Explained | A regularization technique against overfitting
Machine Learning Projects in Python - Binary Classification - End-to-End Jupyter Notebook
Feature Engineering Explained - Feature Construction - Examples in Python
Deep Learning - Question 1 - What are the differences and similarities between DL and ML?
