Self-taught data analyst.

Heart Disease prediction and Breast Cancer Detection

This project is built using MERN Stack & Tailwind CSS! As the condition of earth is uncertain, we can't but look for alternative habitual planets to hold onto the survival of human race and so we've developed this project to encourage amateur astronomers, citizen scientists and anybody interested to carry out research on Mars!

This repository contains various Image Classification projects which have been built using TensorFlow.

Comparing sampling techniques and classification algorithms to predict credit risk

A website where users can find reviews about their favorite local coffee houses

Project code for pedestrian detection using haar and hog cascade. Predicted via several machine learning methods.

An experimental application for detection of plagiarism in source code using NLP techniques and Similarity Detection Algorithms

Using Python for Data Science

Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk

LS Unit II Portfolio Project - Ensemble Learning for Drought Severity Predictions

Stock market prediction using LSTM model

This is a Python Simple Linear Regression project that takes in an excel spreadsheet with 2 continuous variables, one independent and the other dependent, and it'll split the data into training and test data on 80/20 ratio. We use the training data to create a model then we use the test data to calculate the Mean Square Error of the model.

This predicts that will a previous donor donate blood in a given month or not

Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning

Implementação da biblioteca Scikit-Learn para uso de aprendizado de máquina

Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations

Notes while learning to code in python

Machine Learning model that predicts the risk of early readmission to the hospital for diabetic patients (within 30 days).

In-class work from Data Science 101 at Pomona College