Extractive Text Summarization What is text summarization? Text summarization is the process of creating a short, accurate, and fluent summary of a longer text document. It is the process of distilling the most important information from a source text. Automatic text summarization is a common problem in machine learning and Read more…
Classification using CNN It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. In this project we are going to build a model using CNN which predicts if the transaction is genuine Read more…
Donald Trump vs Warren Twitter Sentiment | US Election 2020 In this project we are going to extract live data from twitter related to Donald Trump and Elizabeth Warren. We are going to analyze the sentiment of the data and then plot the data in a single graph which will Read more…
Speech to text conversion and real-time sentiment analysis In this project we are going to analyse the sentiment of the call. We are first going to convert the speech to text and the analyse the sentiment using TextBlob. TextBlob is a Python library for processing textual data. It provides a simple API Read more…
Automatic Text Generation Automatic text generation is the generation of natural language texts by computer. It has applications in automatic documentation systems, automatic letter writing, automatic report generation, etc. In this project, we are going to generate words given a set of input words. We are going to train the Read more…
Extraction of text from PDF using PyPDF2 This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the text. Working with .PDF Files We are going to use PyPDF2 for Read more…
Feature Selection and CNN In this project we are going to build a neural network to predict if a particular bank customer is satisfies or not. To do this we are going to use Convolutional Neural Networks. The dataset which we are going to use contains 370 features. We are going Read more…
Prediction of number of passengers for an airline using LSTM In this project we are going to build a model to predict the number of passengers in an airline. To do so we are going to use Recurrent Neural Networks, more precisely Long Short Term Memory. Recurrent Neural Network Neural Networks are Read more…
Prediction of Human Activity In this project we are going to use accelometer data to train the model so that it can predict the human activity. We are going to use 2D Convolutional Neural Networks to build the model. source = “Deep Neural Network Example” by Nils Ackermann is licensed under Creative Commons CC Read more…
Classification using Fashion MNIST dataset What is TensorFlow? TensorFlow is one of the best libraries to implement deep learning. TensorFlow is a software library for numerical computation of mathematical expressional, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between Read more…
Visualizing statistical relationships Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Statistical analysis is a process of understanding how variables in a dataset relate to each other and how those relationships depend on other variables. Visualization Read more…
Prediction of Google Stock Price using RNN In this we are going to predict the opening price of the stock given the highest, lowest and closing price for that particular day by using RNN-LSTM. Ref- https://colah.github.io/posts/2015-08-Understanding-LSTMs/ What is RNN? Recurrent Neural Networks are the first of its kind State of the Read more…
Sentiment Classification in Python In this notebook we are going to implement a LSTM model to perform classification of reviews. We are going to perform binary classification i.e. we will classify the reviews as positive or negative according to the sentiment. Recurrent Neural Network Neural Networks are set of algorithms Read more…