There are 0 repository under svr-regression-prediction topic.
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
A python based project to predict the future prices of the top 10 trending cryptocurrencies using ML Algorithms like SVR, Decision Tree and LSTM with an interactive frontend using streamlit. Analysis using PowerBi and has DBMS connectivity.
Regression Machine Learning Project
Developed a predicting model for automatic bike sharing system using different machine learning and deep learning techniques like XGBoost, SVM, Decision Tree, Random Forest, and CNN and compared the accuracy of different algorithms. And applied grid search and random search to improve the accuracy, score, and reduced the random mean square error.
Utilized machine learning algorithms to analyze expenses and perform forecasting
Stock Price Forecast App is based on Machine Learning. By providing number of days , we can predict trend in Stock Price. The frontend of App is based on Dash-plotly framework. Model is predicting stock price using Support Vector Regression algorithm. App can predict next 5-10 days trend using past 60 days data.
The Zomato Delivery Time Prediction Application is a machine learning-driven Flask web application designed to predict the estimated delivery time for food orders placed on the Zomato platform.
My programs for intuitively visualising the SVR machine learning algorithm.
Projet 5 - OpenClassRooms - Data Science
This project addresses problem of early detection of Parkinson disease using Machine learning techniques
The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.
This project estimates four regression models to evaluate and predict the salary an interviewed candidate asserted he earned in his previous job.
Airbnb Paris - analytics and accommodation price prediction
Forecast Model for Procurement of Raw Materials
Predicting youtube revenue using ML models
Development of a predictive model that selects the most cost efficient supplier for a given task
Price Prediction with Lasso, Ridge, Random Forest, SVR, Gradient Boosting, KNN, Linear Regression, Logistic Regression
Learning about Machine Learning Regression models and how they work
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
The dataset used for this project is taken from the official UCI Machine Learning Repository.
This project was done as part of the Introduction to Data Science and AI module in NTU. In this project, my team explored on using 3 different models to predict the resale prices of a HDB flat given its features. As this was our first attempt at machine learning, the concepts used are pretty trivial