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How to do Sentiment Analysis with Deep Learning (LSTM Keras)
 Automatically Classify Reviews as Positive or Negative in Python

In this tutorial, we build a deep learning neural network model to classify the sentiment of Yelp reviews.

Following the step-by-step procedures in Python, you’ll see a real life example and learn:

– How to prepare review text data for sentiment analysis, including NLP techniques.
– How to tune the hyperparameters for the machine learning models.
– How to predict sentiment by building an LSTM model in Tensorflow Keras.
– How to evaluate model performance.
– How sample sizes impact the results compared to a pre-trained tool.
And more.

How to do Sentiment Analysis with Deep Learning (LSTM Keras)

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Hyperparameter Tuning with Python: Keras Step-by-Step Guide
 Why and How to use with an example of Keras

This is a practical guide to Hyperparameter Tuning in Python.
To improve your model’s performance, learn:
– why you should use this machine learning technique.
– how to use it with Keras and Tensorflow step-by-step with Python.

Hyperparameter Tuning with Python: Keras Step-by-Step Guide

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Hyperparameter Tuning with Python: Complete Step-by-Step Guide
 Why and How to use with an example of XGBoost

This is a practical guide to Hyperparameter Tuning in Python.
To improve your model’s performance, learn:
– why you should use this machine learning technique.
– how to use it with XGBoost step-by-step with Python.

Hyperparameter Tuning with Python: Complete Step-by-Step Guide

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