regression-analysis-overview

Unveiling the Art of Stock Market Prognostication through Regression Algorithms. Delve into our research exploring the power of machine learning in predicting market trends. Discover the secrets behind top regression models like Linear, Robust, Ridge, and Lasso Regression. Unravel the complexities of the market with data-driven precision.

Apprenticeship project with Indian Institute of Science. Objectives were to Model tumor and immune cell interaction in the presence of MMP & TIMP by varying their diffusion rates and check the effect of MMP8 on these interactions. These simulations provides insights into how ECM remodelling shapes cancer progression.

in this repository i am going to perform random forest regression on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Random forestregression

in this repository i am going to perform multilinear regression on the dataset ,initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e multilinear regression

Python-based regression forecasting model for natural gas prices, utilizing historical market data to analyze trends and generate forward-looking price projections.