Data Science

A detailed look into my journey of making my first meaningful open-source contribution, culminating in fixing a plotting issue for the Marimo project.

Implementing Support Vector Machines for classification and regression tasks

Discover marimo, a groundbreaking reinvention of Python notebooks that offers guaranteed consistency, built-in interactivity, and seamless deployment as web apps.

Conducting sentiment analysis on a chosen dataset, including EDA, text preprocessing, and feature engineering to understand the results.

Implementing a feedforward neural network and exploring its inner workings through a step-by-step approach.

Analyzing Guttenberg and Brown corpus using Python, working with corpus file lists and contents, and visualizing the data.

Mastering data visualization techniques using Python

Implementing the DBSCAN algorithm for clustering and outlier detection

Exploring methods to reduce bias and variance in a neural network model trained on the Diabetes dataset.

Implementing a neural network for image classification on the Fashion MNIST dataset to achieve accurate predictions.