Different regression models such as Linear, Random Forest, XGBoost, etc., will be implemented. Also, multi-layer perceptron (MLP) models will be implemented using scikit-learn and TensorFlow. This ...

The MK regression is a hybrid of the McDonald-Kreitman (MK) test and the generalized linear regression to infer genomic features responsible for positive selection. Unlike previous MK-based methods ...

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

For beginners, a simple project like image classification or a linear regression model is recommended. Step-by-Step Implementation. Data Preprocessing - This step involves cleaning and formatting your ...