Analysis of historical data using machine learning
Introduction Deriving conclusions from historical datasets is one of the hardest problems historians have to solve. The problems include verifying information, deriving correlations, and defending conclusions. The complexity of the problem results in increased time for a solution. Through this project, we have proposed an accurate and faster way of concluding new inferences from historical data. This methodology primarily has 4 parts 1. Collecting and preprocessing the dataset 2. Analysing data using modern machine learning techniques. 3. Validate results using existing Information 4. Derive conclusions To showcase the working of the proposed methodology we have designed an experiment, in which we have derived cultural and economical relationships between ancient cities of the Indus valley civilization. Project Description Experimentation Data Collection (https://github.com/sidgupta2205/CSS_Project/tree/descriptors/Data) In the first phase, we worked on research and knowle...