• Multi-class classification with LSTM
    Multi-class classification with LSTM

    In this Lab, we will discover how we can develop LSTM recurrent neural network models for sequence classification problems in Python using the Keras deep learning library. Recurrent neural networks (RNN):-Recurrent neural networks have a wide array of applications. These include time series analysis, document classification, speech and voice recognition. In contrast to feedforward artificial…

  • How Decision Tree works
    How Decision Tree works

    Decision Tree:* Decision Tree is a non-parametric supervised learning method for regression & classification.* It”s similar to playing “dumb charades”.* A good algorithm will have less & right questions compared to not-so-good one.* The nodes are questions & leafs are prediction. Decision Tree Algorithm:* Decision Tree is based on CART which is advancement of ID3,…

  • Basics of Natural language processing & Part of Speech
    Basics of Natural language processing & Part of Speech

    Natural language processing (NLP) is an artificial intelligence area in which computers intelligently analyze, understand, and interpret from human language. Developers can use natural language processing (NLP) to organize and structure knowledge for tasks such automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. The Part of Speech tagging…

  • Numeric Types
    Numeric Types

    In Python, numeric data type represent the data which has numeric value. Numeric value can be integer, floating number or even complex numbers. These values are defined as int, float and complex class in Python. 1) Integers – This value is represented by int class. It contains positive or negative whole numbers (without fraction or…