Embracing the Power of Data Science: Exploring Patterns, Predicting Outcomes, and Transforming Insights into Actionable Solutions.
In this project, I utilize the unsupervised learning techniques to perform clustering on Netflix’s vast collection of TV shows and movies. The primary goal was to create a recommendation system that clusters similar content together, enhancing the user experience by providing personalized suggestions based on viewing preferences.
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In this project I undertook the challenge of building a predictive model to estimate the no. of views that TED Talks are likely to garner. This endeavor involved a comprehensive approach to data analysis and ML. By analyzing TED Talk metadata and harnessing social media engagement data, I gained valuable insights into the factors influencing the popularity of these talks.
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In this Credit Card Default Prediction project, I embarked on a mission to enhance risk assessment and decision-making in the financial sector. By leveraging data science and machine learning techniques, I endeavored to predict the likelihood of credit card holders defaulting on their payments.
Read MoreDiving into the realm of healthcare data, I explored the Pima Indians Diabetes dataset to predict diabetes onset. This project reflects my dedication to leveraging data for impactful insights. Analyzing vital health indicators like Glucose, BMI, and more, I've witnessed how data can empower better healthcare decisions. Let's innovate for a healthier future!
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