"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.

🚗✨ A simple web app for predicting vehicle mileage using machine learning! Built with Python, Flask, and scikit-learn, it features an easy-to-use interface for instant mileage predictions. 🔧📊

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

This web application allows you to take a look at your favorite songs in different ways than you may have before. By bringing some basic visualization (via plotly) and machine learning (VADER, NLP, and SKLearn) together, I hope that you can learn something new about your favorite song.

Web application to train sklearn ML models

Application streamlit permettant d'estimer la valeur d'un véhicule.

how car resale value is predicted ,based on all assumptions, and having Brand,Price,Body,Mileage,EngineV,Engine_Type,Registration,Year, adjustinf outliers and checking autocorelation between them and usinf model based on exploration

Model for Diabetes Prediction using Machine Learning

Página web del semillero en Ciencia de Datos con R y Python - Colombia

Machine learning models aimed at improving loan approval processes using Home Credit Kaggle Dataset

BookVista is a book recommendation system. It leverages both popularity-based and collaborative filtering techniques to provide personalized book suggestions tailored to each user's unique preferences and reading habits.

we aim to predict trends in the Canadian market basket using sentiment analysis techniques. Sentiment analysis involves analyzing text data to determine the sentiment expressed, whether positive, negative, or neutral.

Unsupervised machine learning project 2: Alcanzando los objetivos de desarrollo sostenible, uso de NLP para clasificación de documentos.

Skills: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Statsmodels)

AI model for summarizing and categorizing news articles

First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python

S7-S8 Main Project: Concatenation of Attention Enhanced Spatial and Temporal Features for Violence Detection from Videos

I created first Machine learning project, Yield crop Recommendation System and deployed on website