Python ML Project
Python ML Project
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Python Machine Lerning project for predicting book ratings or quality using regression and classification Machine Learning methods.
Python Machine Lerning project for predicting book ratings or quality using regression and classification Machine Learning methods.
Goodreads is the world's largest community of book lovers, where you can discover new books, genres, and quotes. The below analysis aims to predict book ratings using different machine learning methods.
Goodreads is the world's largest community of book lovers, where you can discover new books, genres, and quotes. The below analysis aims to predict book ratings using different machine learning methods.
Developed an end-to-end Machine Learning Pipeline - Book Rating Prediction Model
Following are few plots:
Analystics
A Machine Leraning model of this type could help predict whether a book would be well or poorly rated by the reading community, based on certain characteristics, and in such a way the reader could focus on those that would have better ratings. Although it is not the objective of this analysis, the available data could also be used to make recommendations not only based on the estimated score, but rather based on the characteristics that are most important to the reader. However, it should be noted that the characteristics or variables available for this study are quite limited and correspond only to the books that have been evaluated in the database of Goodreads.
A Machine Leraning model of this type could help predict whether a book would be well or poorly rated by the reading community, based on certain characteristics, and in such a way the reader could focus on those that would have better ratings. Although it is not the objective of this analysis, the available data could also be used to make recommendations not only based on the estimated score, but rather based on the characteristics that are most important to the reader. However, it should be noted that the characteristics or variables available for this study are quite limited and correspond only to the books that have been evaluated in the database of Goodreads.
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