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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 PublicThis 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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ML_Classification_Algorithms_Comparison
ML_Classification_Algorithms_Comparison PublicComparative performance analysis of Naive Bayes, SVM(Support Vector Machine), and Random Forest(Bagging) algorithms for Spam Filtering.
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LSTM_Feature_Selection
LSTM_Feature_Selection PublicUsing LSTM for prediction of stock prices on different features used for training the LSTM model.
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Support_Vector_Machine
Support_Vector_Machine PublicSVMs 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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Ensemble_Learning
Ensemble_Learning PublicDemonstrating Ensemble Learning using Bagging and Random Forest algorithm
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Regression
Regression PublicRegression 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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