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Understanding the Perceptron: Intuition, Theory, and Code

Mar 23, 202612 min read

Understanding Mathematical Transforms in Machine Learning

Feb 22, 20256 min read

How Neural Networks Work: Math, Intuition, and Code

Introduction In the last post of our Deep Learning Series, we built a Perceptron, a single neuron that draws a straight line to separate two classes. It has one hard limitation: the moment data is not

Mar 28, 202618 min read

Building Chatbots with Memory Capabilities: A Comprehensive Tutorial with LangGraph, Gemini AI, and MongoDB

Dec 9, 20246 min read

A Step by Step Guide to Linear Discriminant Analysis (LDA) in Machine Learning

Sep 20, 20246 min read

A Step by Step Guide to Principal Component Analysis (PCA) in Machine Learning

Introduction Welcome back to the eighth blog post in our Machine Learning series! Today, we're diving into Principal Component Analysis (PCA), a powerful tool for dimensionality reduction. PCA simplifies complex datasets while keeping as much informa...

Sep 9, 20246 min read

A Step by Step Guide to Kmeans Clustering in Machine Learning

Introduction Welcome to the seventh blog post in our machine learning series! Today, we will explore Kmeans Clustering and break down the concept into simple, easy-to-understand terms. As always, we will also implement this algorithm from scratch in ...

Aug 19, 20248 min read

A Step-by-Step Guide to Random Forest in Machine Learning

Introduction Welcome to the sixth blog post in our machine learning series! Today, we will explore Random Forest, a powerful and versatile algorithm used for both classification and regression tasks. As always, we will also implement this algorithm f...

Jul 15, 20246 min read

A Step-by-Step Guide to SVM in Machine Learning

Introduction Welcome to the 5th blog post in our machine learning series! Today, we will explore Support Vector Machines (SVM), a powerful and versatile algorithm used for both classification and regression tasks. As usual, we will also implement thi...

Jul 6, 20248 min read

Analyzing TMDB Movies: Trends, Insights, and Key Metrics

Introduction Exploring the vast world of movies through the TMDB dataset reveals fascinating trends, standout films, and key figures shaping the film industry. Join me on a comprehensive analysis journey, covering various aspects of movie data, from ...

Jun 29, 20245 min read

A Step-by-Step Guide to Naive Bayes in Machine Learning

Introduction Welcome back, everyone, to this 4th blog post in our Machine Learning Algorithms Series! Today, we are diving into the Naive Bayes algorithm, a fundamental tool in the machine learning toolkit. In this blog, we will implement the Naive B...

Jun 24, 20248 min read

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