This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.

This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia

This is my personal repository for studies in deep learning

All python regex operations with comments containing explanation

Simple Country Happiness Prediction with machine learning and Tensorflow

An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark

This repository contains the ipython notebook of covid19 study. This notebook was made possible in kaggle. Changes and improvements are always welcome.

Natural Language Processing basics with comments for explanation

Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.

A selection of python scripts regarding face morphing generation and detection

Get tweets by query with Twitter API and export dataframe to Excel file.

Use deep learning to detect epileptic seizures and apply them.

Short challenge used in interview couple years ago

It Predicts whether the given patient is having a Malignant or Benign tumor based on the attributes in the given dataset.

Statistical analysis on different diet plans

In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

Classify the user as defaulter/non-defaulter based on various financial parameters

Notebook for web scraping and cleaning list of all ISRO missions, satellites, launches ...