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🎯 About Me :

I’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 ❤️  by Shantanu Umrani



Shantanu Umrani's Projects

coursera-deeplearning.ai-gans-specialization icon coursera-deeplearning.ai-gans-specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

google-play-store-analysis-and-prediction icon google-play-store-analysis-and-prediction

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.

ibm-hr-analytics-employee-attrition-and-performance-prediction icon ibm-hr-analytics-employee-attrition-and-performance-prediction

In this project, we enlisted the numerical and categorical attributes present in the publicly available dataset. Missing values were dropped to give better insights in data analysis. ANOVA and Chi-Square tests were carried out during statistical analysis. Machine Learning algo's were applied to understand, manage, and mitigate employee attrition.

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