#Prediction-model
Showing 15 of 15 repositories tagged #prediction-model, ranked by stars
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Classification of Breast Cancer diagnosis Using Support Vector Machines
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
Top Class Stock Price Prediction Project through Machine Learning Algorithms for Google. Easy Understanding and Implementation. B.tech Final Year College Project.
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
this is my repository for the quick draw prediction model project
A sophisticated Formula 1 race simulation tool that models and predicts F1 race outcomes with realistic parameters based on driver skills, team performance, track characteristics, and dynamic weather conditions.
Model created for FiveThirtyEight Forecast Competition
Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.
๐ชจ Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.
๐ Predict car prices instantly with Linear & Lasso Regression! Built with Streamlit, scikit-learn, pandas & matplotlib. Compare models, explore data, and learn ML hands-on. Fast, open source, and easy to use for students & developers!
Predict using ML the number of infected people and the number of deaths of coronavirus.