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In this course, you will learn :
- Make a pipeline to remove stop-words, tokenize, and padding.
- Recognize the theory and intuition underlying Recurrent Neural Networks and LSTM.
- Train and evaluate the deep learning model's performance.
Syllabus :
- Understand the Problem Statement and business case
- Import libraries and datasets and Perform Exploratory Data Analysis
- Perform Data Cleaning (Remove Punctuations)
- Perform Data Cleaning (Remove Stopwords)
- Plot WordCloud
- Visualize Cleaned Datasets
- Prepare the data by tokenizing and padding
- Understand the theory and intuition behind LSTM
- Build and train the model
- Assess trained model performance
