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1. Boosting-Classifiers-in-Machine-Learning- Boosting-Classifiers-in-Machine-Learning- Public

   Description of the Project: + The "Breast Cancer Dataset" is used in this project. It has df.shape=(569, 31) which means 569 rows and 32 columns. + The link of the datset used in this project is -h…

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2. Decision-Tree-Regressor-Model-Variability-and-Bias-Varinace-Trade-Off- Decision-Tree-Regressor-Model-Variability-and-Bias-Varinace-Trade-Off- Public

   This project is based on insurance datasets which was collected from Kaggle. Though, the decision tree model highly suffers from low bias and high variance .i.e. overfitting. But, we can adjust mak…

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3. Imputation-of-Missing-values-in-DataFrame Imputation-of-Missing-values-in-DataFrame Public

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4. Using-Neural-Network-Algorithm-to-Predict-Hepatitis Using-Neural-Network-Algorithm-to-Predict-Hepatitis Public

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5. Multi-level-Classification-in-Machine-Learning Multi-level-Classification-in-Machine-Learning Public

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6. Pyspark-code-all Pyspark-code-all Public

   This repository contains all concepts regarding PySpark

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