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In this project, we explored the Google Play Store dataset. We employed Random Sample Imputation to manage missing values and conducted statistical tests to assess data normality. Outlier detection techniques were used to evaluate data skewness. For data modeling, we utilized ML techniques, measuring regression and classification models.

License: MIT License

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data-analysis data-mining data-science data-visualization machine-learning performance-metrics python statistical-analysis

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๐ŸŽฏ About Me :

Iโ€™m a curious-driven Data Science enthusiast who thrives on deciphering intricate data puzzles and transforming them into actionable insights. I am pursuing an MTech Degree in Data Science & Analytics. I have honed my proficiency and technical versatility in crafting Machine Learning and Deep Learning techniques while seamlessly integrating Statistics and Calculus.

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Made with โค๏ธ ย by Shantanu Umrani



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