Mathematics For Machine Learning: Mathematical Intuition Basics
Mathematics is the core of many sciences, including machine learning and data science. But how exactly does it help us...
Machine Learning
Autoencoders: Fundamentals of Encoders and Decoders Using Neural Nets
In the previous tutorials, we have talked about various neural nets architectures. In this tutorial, we will learn about Autoencoders...
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...