• K-Means

    Separating data into distinct clusters, organizing diverse information and simplifying complexity with vibrant clarity

  • Random Forest for Regression

    Combining decision trees, it provides predictive accuracy that illuminates the path to regression analysis

  • Support Vector Machines for Regression

    Leveraging mathematical precision, it excels in predicting values by carving precise pathways through data complexities

No posts. Show all posts
No posts. Show all posts
  • Representation of a Color Image
    To appreciate how color images are represented mathematically, we first need to understand grayscale images. Imagine an image as a function ...
  • Regression in Machine Learning
    Regression is a supervised learning technique widely used in Machine Learning and Data Science. These kind of techniques aims to predict a ...
  • K-Nearest Neighbors Algorithm
    The K-Nearest Neighbors (KNN) algorithm is a simple and powerful machine learning technique, it is often used for Classification tasks, bu...

About Me

My photo
I am a Physics Engineer graduated with academic excellence as the first in my generation. I have experience programming in several languages, like C++, Matlab and especially Python, using the last two I have worked on projects in the area of Image and signal processing, as well as machine learning and data analysis projects.

Recent Post

Intensity Transformations (Part 2)

Welcome back to our exploration of Intensity Transformations . This post is a continuation of our previous discussion, where we covered the ...

Pages