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

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

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

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

A recommendation system for Restaurants!

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.

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

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…

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

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

Regression detection in time series data

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

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.

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

This Project will perform linear regression on Automobiles MPG

Optimizing lighting distribution across regions by adjusting lamp powers.