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 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.
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.
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.
This repository presents a time series forecasting model for the stock market using SVR and LSTM to build a model that can predict the appropriate time for trading.
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.
Machine Learning practice, Linear Regression, Multi-Linear Regression, Polynomial, Support Vector, Decission Tree, Random Forest.
My programs for intuitively visualising the SVR machine learning algorithm.
Time series forecasting using 8 different models
Projet 5 - OpenClassRooms - Data Science
Stock Prediction & Forecasting Using Machine Learning (SVR And LSTM)
Deciphering how customer's purchasing habits are influenced by wholesale pricing and examining its impact on final retail cost.
This is an assignment from my Machine Learning for Mechanical Engineers course that demonstrates an understanding in support vector regression using scikit-learn.
Optimize fuel consumption in coal mine haulers using SVR techniques to improve efficiency, reduce costs, and minimize environmental impact.
This project addresses problem of early detection of Parkinson disease using Machine learning techniques
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.
Forecast Model for Procurement of Raw Materials
Credit card debt prediction is important for managing risk, aiding financial planning, retaining customers, complying with regulations, and making informed investment decisions.
The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.
The project focused on predicting polymer composite thermal conductivity using SVR algorithm, PSO optimization, and LOOCV.
This project estimates four regression models to evaluate and predict the salary an interviewed candidate asserted he earned in his previous job.
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
Predicting youtube revenue using ML models
Exploring the Stock Markets with Dash and Machine Learning
Revolutionize Mumbai's bus service with SVR-based population density prediction and NetworkX route optimization. Dynamic map visualization ensures efficient coverage of high-density areas, enhancing user-friendly public transportation .
Development of a predictive model that selects the most cost efficient supplier for a given task
Basic data procesing on Honey dataset
Machine Learning project
Streamlit website to analyze Website Traffic
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.
Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles