Machine Learning
ResNet And DenseNet Implementation In Depth
In recent years, convolutional neural networks (CNNs) have revolutionized the field of computer vision, enabling machines to recognize patterns, classify...
Install Miniconda on Windows (The EASIEST Way! )
This video is your one-stop shop for installing Miniconda on Windows, the essential tool for your journey! We'll walk you...
Convolutional Neural Networks (CNNs): Concept And Application
In the previous tutorial on Introduction to Artificial Neural Networks (ANNs), we explored the fundamentals of deep learning and witnessed...
TensorFlow Simplified Guide For Beginners
TensorFlow is an open-source machine learning library developed by the Google Brain team. It provides a comprehensive set of tools...
[In Depth] Deep Learning: Introduction To Artificial Neural Networks (ANNs)
In our previous tutorials, we explored different machine-learning tools to solve problems like predicting house prices or classifying emails. But...
Gaussian Mixture Models
Gaussian Mixture Models related concepts are explained in the notebook below. Please practice and ask your questions in the forum...
[In Depth] Nearest Neighbors: Concept And Application
In this tutorial, we will learn our next machine-learning model called nearest neighbors (NN), known as k-nearest Neighbors (k-NN). It...
A Beginner’s Guide to Data Preprocessing In ML
Welcome to a beginner's guide to data preprocessing in machine learning. In the previous few tutorials, we saw some basic...
[In Depth] Stochastic Gradient Descent: Concept And Application
If you have been following my previous tutorials, you must be familiar with other optimization techniques to solve ML problems....
[In Depth] Logistic Regression: Concept And Application
In our last tutorial, we discussed naive Bayes, a nifty tool for categorizing things. Now, let's delve into logistic regression,...