Exercises on Machine Learning

Exploratory Data Analysis on Mental Health Data

Comprehensive EDA on House Price Dataset. This project includes feature engineering, feature selection, and visualizations to uncover insights and prepare data for advanced regression techniques. Data sourced from Kaggle's House Prices competition.

This repository implements a custom artificial neural network in PyTorch, achieving 87% accuracy on a regression dataset (outperforming Keras). It provides a hands-on approach to building neural networks from scratch while leveraging PyTorch for efficient training.

Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

Exploratory Data Analysis on Retail Sales Data in SQL

Using Python & its libraries like BeautifulSoup and API Request to Data wrangle to Webscrape and collect data with API requests. Pandas & Numpy libraries to perform EDA for Hotel Booking dataset insights

This project is Django based Online Health Prediction. This platform utilizes machine learning models to provide online predictions for various health conditions, including mental disorders, polycystic ovary syndrome (PCOS), and obesity.

Exploratory Data Analysis on Retail Sales Data in Python

Binary Classification of a regression problem

Involves all my kaggle competitions + Some ML applications

obstacle detection using yolov5 and making navigation decisions using that information.

Skin Disease Detection system using Flutter and Tenser-flow lite.

Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderam solicitar demissão de seu trabalho.

Exploratory Data Analysis on Spotify 2023 Data

This project analyzes Netflix movies and TV show ratings, focusing on trends over different decades.

This project analyzes the World Happiness Report 2020 dataset using Python. It explores factors contributing to happiness levels across countries through data visualization and correlation analysis.

Netflix Statistics in Tableau from CSV file retrieved off Kaggle

The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍

Monkey Species Image dataset for fine-grain classification using a convolutional neural network