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1. NLP NLP Public

   Here I have tried with four different applications of Natural Language Processing. Those are- Spam Classification, Sentiment Analysis, WordCloud and Customer Segmentation. I applied K-Means and Hie…

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2. Customer-Churn-Prediction--Binary-Classification-Problem Customer-Churn-Prediction--Binary-Classification-Problem Public

   Churn prediction is one of the most well known applications of machine learning and data science in the Customer Relationship Management (CRM) and Marketing fields. Simply put, a churner is a user …

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3. Handwriting-Analysis-for-Early-Alzheimer-s-Disease-Prediction Handwriting-Analysis-for-Early-Alzheimer-s-Disease-Prediction Public

   Utilizing machine learning on the DARWIN dataset, we predict early Alzheimer's disease through handwriting analysis. XGBoost model achieves 91% accuracy, showcasing handwriting's potential as a non…

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4. myFirstProject myFirstProject Public

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5. Data-Science--Binary-Classification Data-Science--Binary-Classification Public

   I used BreastCancer dataset from mlbench. I tried with several linear and non-linear models. Finally, did some preprocessing task and parameter tuning to improve model accuracy.

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6. Data-Science-Titanic-Project-with-R Data-Science-Titanic-Project-with-R Public

   I have worked on Titanic dataset. This is a complete end to end project. I used R language.

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