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1. Performance-Evaluation-of-LSTM-and-RNN-in-Stock-Price-Prediction-of-NASDAQ-Index Performance-Evaluation-of-LSTM-and-RNN-in-Stock-Price-Prediction-of-NASDAQ-Index Public

   This article uses 2 important models for the predictions and comparisons. These are Long Short-Term Memory and Recurrent Neural Network measures. The result of LSTM and RNN are compared to check th…

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2. ML_Classification_Algorithms_Comparison ML_Classification_Algorithms_Comparison Public

   Comparative performance analysis of Naive Bayes, SVM(Support Vector Machine), and Random Forest(Bagging) algorithms for Spam Filtering.

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3. LSTM_Feature_Selection LSTM_Feature_Selection Public

   Using LSTM for prediction of stock prices on different features used for training the LSTM model.

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4. Support_Vector_Machine Support_Vector_Machine Public

   SVMs are used for Classification as well as Regression problems. However, it is primarily used for Classification problems. #%% md # The Technique (Support Vector Machine) Support Vector Machine or…

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5. Ensemble_Learning Ensemble_Learning Public

   Demonstrating Ensemble Learning using Bagging and Random Forest algorithm

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6. Regression Regression Public

   Regression models target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting.

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