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1. Predicting-house-prices-using-lm-and-rpart-models Predicting-house-prices-using-lm-and-rpart-models Public

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2. Recognizing-Cities Recognizing-Cities Public

   Jupyter Notebook

3. Fraud-detection-on-imbalanced-data Fraud-detection-on-imbalanced-data Public

   Classification problem using logistic regression, random forest and gbm.

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4. Bootstrapping-and-Permutation-methods-for-significance-testing Bootstrapping-and-Permutation-methods-for-significance-testing Public

   We use "infer" package for both our problems. We use bootstrapping/permutation methods to construct confidence intervals/null distribution.

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5. A-B-testing-using-t-test-permutation-test-and-logistic-regression A-B-testing-using-t-test-permutation-test-and-logistic-regression Public

   Google stock or S&P stock? New page or old page?

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6. Clustering-Companies-Based-on-Stock-Price-Movements Clustering-Companies-Based-on-Stock-Price-Movements Public

   In this work, we will apply Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (TSNE), K-means clustering and Hierarchical clustering.

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