✨ Movie Rating Prediction ✨ Built a machine learning model to predict how users might rate movies they haven’t watched yet. Cleaned and preprocessed the rating dataset for accuracy and consistency. Applied collaborative filtering and regression techniques to generate predictions. Evaluated model performance using RMSE and improved results.

A command-line tool to provide rapid, approximate estimates for basic properties (density, lattice parameter, thermal conductivity) of High Entropy Alloys (HEAs) based on their elemental composition. It utilizes simple Rule-of-Mixtures (RoM) and Vegard's Law models.

In this project, an analytical approach on the large dataset is applied for advance prediction of average household electricity consumption located in different regions of United Kingdom. Several machine learning models are implemented and compared for the prediction analysis. This project also involves an estimation of the expected emission of …

Data Analysis and Visualization Of LifeExpectancy based on WHO data. Summarized the data for developed and developing countries. I used histograms and scatter plot to get clear visualization of factors like income, schooling, immunizations. Built a model using linear regression and performed residual diagnostics to check for correctness of the r…

Model the demand for shared bikes with the available independent variables in order to understand the demand dynamics of a new market.

Sales prediction involves forecasting the amount of a product that customers will purchase, taking into account various factors such as advertising expenditure, target audience segmentation, and advertising platform selection.