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The project used Python to create a personalized book recommendation system that analyzed users' past ratings on books to identify their preferences and patterns and suggested books that the user is likely to enjoy but has not read yet.

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collaborative-filtering python recommendation-system scikit-learn surprise-library

book-recommendation-system's Introduction

Hi there , I'm Fridah!

I am a data scientist with expertise in data analysis, visualization, and machine learning. My goal is to utilize these skills to drive impactful business outcomes in a collaborative and innovative environment. I thrive on continuous learning and development, and have experience developing predictive models using Scikit-Learn and Keras and working with SQL, Tableau, and Python for data preparation, analysis and visualization.

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html5  css3  mysql   sqlite   mongodb python  pandas   numpy   scikit-learn  tableau seaborn  Matplotlib  pyspark  tensorflow 

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