Deep Learning for NLP: GitHub Bug Prediction Analysis

Get down to solving real-world GitHub bug prediction problems in this case study course. Examine the process of data and library loading and perform basic exploratory data analysis (EDA) including word count label punctuation and stop word analysis. Explore how to clean and preprocess data in order to use vectorization and embeddings and use counter vector and term frequency-inverse document frequency (TFIDF) vectorization methods with visualizations. Finally assess different classifiers like logistic regression random forest or AdaBoost. Upon completing this course you will understand how to solve industry-level problems using deep learning methodology in the TensorFlow ecosystem.