Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.

Predictions for Covid-19 - Api to provide data to https://github.com/caiosbl/coronavairus-api

Tournaments for football forecasters: web app

My code (in R), submission files, and saved data for the challenge to predict if a person survived in the titanic or not (from the given data) in Kaggle. Read the README file for more details.

Source code of covid-india-analysis, a project to keep track of covid19 in India

Projeto para analisar casos e óbitos por covid-19, durante a pandemia, nos Estados Unidos. Inclui alguns estados específicos para analisar de forma independente. Em seguida, tentamos fazer uma previsão dos casos e óbitos futuros nesses estados e em todo o país.

Finds a regression equation which can be very important for predictions, etc. Also finds the respective errors.

Simple API, built with FAST API, with advanced linear regression of California home prices.

A web app for running live predictions contests

🧮 Prediction of contributors with long-term participation in GitHub projects using machine learning techniques 🖧

Global Food Waste Analysis — Data exploration, modeling, and scenario simulation to evaluate the economic and environmental impact of food waste reduction.

Capstone projects from Springboard. Fraud Transactions Detection on imbalanced data, Best Detection Machine Learning algorithm and Deep Learning Neural Network Autoencoder.

Machine learning project predicting insurance charges based on customer attributes using various regression models (Linear Regression, Random Forest, SVR, etc.) with feature analysis and model comparison.

iOS app for Neural Bikes

Predict Hospital mortality rate using Machine Learning for patients admitted in ICU (Intensive Care Unit)

The code is developed as a prototype to detect lapse in the dimension of a part during manufacturing, a user interface is build using Gradio to interact with the model

Here my TradingBot for crypto is unveiled. For any suggestions or hints, please keep me informed

An LSTM machine learning project that predicts stock prices based on historical company financial data

Using python code and Machine Learning Pipeline Model to create an ETL model with Apache Spark.