Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

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.

A simple reader with GUI, for pickle files.

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite

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.

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.

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

Ask_Dr_Rakna is an AI-powered healthcare chatbot with speech-to-text and text-to-speech capabilities. Built with Streamlit, this application enables users to interact with an AI assistant via both text and voice, providing quick and reliable health-related responses.

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.

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

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

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

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.

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

Robust credit risk model that go beyond traditional credit scoring methods in banks

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

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

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.