Identifying the Digits using Image Classification

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

This is my graduate thesis, a mobile applicaiton with computer vision

Analyze and predict if a flight will depart on time using airport data.

The purpose of the project is to analyze Amazon reviews written by members of the paid Amazon Vine program using AWS, PySpark, and SQL.

Repositorio con análisis de los data ENAHO de los módulos...

Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a re…

Python Project: Build a PDF File Handling Tool from Scratch

Terceira edição da Imersão Dados da Alura (03 a 07/05/21). O projeto dessa edição foi inspirado em um desafio do Laboratory Innovation Science at Harvard disponibilizado no Kaggle.

Potato disease classification model

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

Find songs, animes and podcasts based on your mood

Data analysis project using PySpark to perform the ETL process to extract data, transform it, connect it to AWS RDS, and load it into pgAdmin. Lastly, performed an analysis via PySpark, Pandas, & SQL to determine biases on reviews.

This repository is dedicated to analyzing and visualizing sentiment patterns in social media data, providing insights into public opinion and attitudes towards specific topics, brands, or entities. The dashboard offers a detailed view of how different entities are perceived online, helping users to gauge overall sentiment and identify trends.

In this project, I have classified product reviews from E-commerce website into positive, negative, and neutral category, with the help of machine learning and Natural language Processing.

Jupyter NB that contains my final class project for the Summer course MS03: Python Programming for Social Scientists by the ECPR in association with KU Leuven. The main objective of this project is to consolidate my newfound skillset of data, collection, processing and manipulation from different sources such as websites or APIs.

some examples of different terminologies used in ML and DL

Python, Google collab, data mining done during 6th semester

Proyecto de Inmersión de Datos en Python, organizado por la empresa Alura Latam donde aprendimos un poco del análisis de datos con python trabajando con una base de datos de un banco alemán para definir que modelo de machine learning sería el indicado para saber si un cliente pagará o no un crédito

About Maze solving using dijkistra algorithm