Introduction-Python Programming Without Libraries
This report is based on extensive research and implementation of different machine learning algorithms that will be implemented in the software part of this project. The system provides book recommendations based on analysis of historical data of book details and user pReferences. The system implements different machine learning algorithms and uses python language to implement those algorithms into the datasets. Based on these algorithms, a correlation between users and books are found. Based on these correlation results,
recommendations to users are made. For the implementation, euclidean distance, Minkowski distance, spearman correlation, Chebyshev distance, Hamming distance, cosine similarity, and Pearson correlation have been done. Based on these results and input from users, a recommendation system has been built. Implementation and Justification
