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.

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.

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.

My programs for intuitively visualising the SVR machine learning algorithm.

This is an assignment from my Machine Learning for Mechanical Engineers course that demonstrates an understanding in support vector regression using scikit-learn.

Price Prediction with Lasso, Ridge, Random Forest, SVR, Gradient Boosting, KNN, Linear Regression, Logistic Regression

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 .

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Exploring the Stock Markets with Dash and Machine Learning

Machine Learning project

Basic data procesing on Honey dataset

A Neural Network that predicts the direction of a force experienced by the Syntouch Biotac robotic finger

Development of a predictive model that selects the most cost efficient supplier for a given task

This project analyzes student placement data using machine learning algorithms to predict academic outcomes and career preferences. By exploring academic performance, hackathon participation, and career choices, the project provides insights for guiding students in their career decisions between jobs and higher studies.