apply ensemble learning for Quora question pairs identification
Bajet $30-250 USD
Ensemble learning is a technique that combines multiple machine learning models to improve the accuracy and robustness of the final prediction. Here are the steps to apply ensemble learning for Quora question pairs identification project:
Data preparation: Gather the training data from and preprocess it by performing text normalization, tokenization, and cleaning. we need to use techniques like word embeddings to represent the text in a numerical format.
Model selection: Choose a set of base models (1-Machine Learning models: SVM, KNN, DT, ME, NB and 2-Deep Learning Models: RNN,CNN,LSTM,GRU,Bi_LSTM).
Training base models: Train each base model on the training data using a suitable algorithm and tuning hyperparameters. You can use cross-validation techniques to evaluate the performance of each model.
Combining predictions: Combine the predictions of each base model to obtain a final prediction. There are several ways to combine the predictions, such as majority voting, weighted voting, and stacking.
Evaluate the ensemble model: Evaluate the performance of the ensemble model on the test data using suitable metrics like accuracy, precision, recall, and F1-score.
16 pekerja bebas membida secara purata $142 untuk pekerjaan ini
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