Heart Disease Prediction using machine and deep learning techniques works on heart dataset

PurrfectLoaf is a deep learning project that uses a Convolutional Neural Network (CNN) to classify images as either cats or loaves of bread. With a Streamlit interface, you can upload images and get instant results, showcasing the fun and power of deep learning in image recognition.

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

A simple reader with GUI, for pickle files.

In this repository, I am working on various machine-learning models and trying to deploy the website for the same.

This Bangalore house price prediction project is simple linear regression based which accuracy is about to 70% . not much customized model it is .simple to to implement our technique.

Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analysis model.

The labs for the Travelers EDP June 2024 program.

This is a Fertilizer Forecasting tool or an app, which predicts an optimal fertilizer from the collected soil and other depending factors. The tool is developed machine learning algorithms, streamlit-webapp. and streamlit-cloud.

Developed a Spam/Email Detector utilizing TF-IDF and Bernoulli Naive Bayes (BNB). Leveraged TF-IDF for text representation and BNB for classification, ensuring efficient detection of spam emails based on their content.

AQI Delhi pm25 Forecasting for next 24 hours from last three months Delhi Meteorology Department data.

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

A Full-Stack Website made in MERN Stack that uses Flask API and Machine Learning Algorithm for Disease prediction

This is an ML project to predict the AQI based on the input fields

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

A Drug Discovery method using CHEMBL database, Lipinski Parameters, molecular fingerprint (padel) for SARS coronavirus 3C-like proteinase.

This project focuses on modelling industrial copper data using Python and various libraries such as pandas, numpy, scikit-learn

prediction of Hospital readmission of patients using random forest classifier

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).