This repository contains a collection of projects showcasing various data science and machine learning techniques. Below is a brief overview of each project along with links to their respective directories.

• Description: Embedding the world's 3D coordinates into a 2D plane using Manifold Learning techniques.
• Explore 2D World

• Description: Applying neural networks to the problem of image masking and segmentation.
• Explore Neural Net Masking

• Description: Using Principal Component Analysis for the recognition and classification of faces.
• Explore PCA for Faces Recognition

• Description: Implementations of Stochastic Gradient Descent with Nesterov momentum and RMSProp optimization algorithms.
• Explore SDGNesterov and RMSProp

• Description: Implementing various clustering algorithms on different datasets.
• Explore Clustering Implementations

• Description: Classifying handwritten digits using multiple machine learning techniques.
• Explore Digits Classification

• Description: Utilizing image data to classify and cluster fruits.
• Explore Fruits Classification

• Description: Analysis of marginalization index using PCA in Nuevo León.
• Explore Indice de Marginacion NL

• Description: Visualizing and analyzing olive oil data from Italy.
• Explore Olive Oil Analysis

• Description: Sentiment analysis on Spanish language reviews using NLP techniques.
• Explore Spanish Reviews

• Description: Exploratory Data Analysis on suicide data.
• Explore Suicides EDA

Feel free to explore each project directory for detailed information, data analysis, and insights derived from these studies.