Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

This project is to build machine learning models on the byte and asm files to predict which type of malware these files represent. The byte files contain the hexadecimal codes and the asm file contains the assembly language code which contains keywords, opcodes, registers, APIs. We have to extract features from these files and build the optimal …

Build Scikit ColumnTransformers by specifying configs.

Predicts voting habits (state/district/county) based on the presence of 20 popular chain stores including Starbucks, Walmart, Cracker Barrel, Target, and Dollar Tree.