Regression detection in time series data

A recommendation system for Restaurants!

Multiple randomized ANN are being generated that is being taken from user input(total number of ANN) then we have approached one of the nature-inspired-algorithms such as DIFFERENTIAL-EVOLUTION(DE) on a soil-content-dataset to prove that it has better prediction and optimising values other than some well defined algorithms such as SUPPORT-VECTOR…

College Assignment Submission - An Optimisation Project in Python. Studying trends in Football Transfers and building a regression model to predict the market value of players.

Understanding Trends in Football Transfers and trying to build a prediction model to predict the market value of players.

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

Using Support Vector Machine for classification on diabetes data and regression on red wine quality.

🎥  Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.

Aim: To use the raspberry pi camera as a CCTV camera which records only when motion is detected.

Lorenz system - Repository for the project for Software and Computing for Applied Physics

Optimizing lighting distribution across regions by adjusting lamp powers.

Comparing two images by using 9 metrics: VIFP, PSNR, SSIM, FSIM, RMSE, ISSM, SRE, SAM, UIQ.

This Project will perform linear regression on Automobiles MPG

A movie recommendation system on MovieLens 25M dataset using Python and Apache Spark

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.