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Financial Analytics

  1. Case1: Capital asset pricing model for a forseeable horizon of 6 months.
  2. Case2: Portfolio management and optimization using 20 stocks in various industries like Tech, Retail, and Food Services.
  3. Case 3: Machine Learning for finance using Naive Bayes, SVM, Logistic Regression and regression based on Multi-layer Perceptron (MLP) for (1) fake notes detection (images transformed to matrices using Wavelet transform) using Naive Bayes, Decision Tree, and Support Vector Machine, (2) predicting whether a person would default on their loan using Random Forest, (3) predicting price of a house using multi-layer perceptron neural network.

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