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Amazon and IMDB Review Sentiment Classification using SpaCy

Sentiment Classification using SpaCy What is NLP? Natural Language Processing (NLP) is the field of Artificial Intelligence concerned with the processing and understanding of human language. Since its inception during the 1950s, machine understanding of language has played a pivotal role in translation, topic modeling, document indexing, information retrieval, and Read more…

By georgiannacambel, ago

Classify Dog or Cat by the help of Convolutional Neural Network(CNN)

Use of Dropout and Batch Normalization in 2D CNN on Dog Cat Image Classification in TensorFlow 2.0 We are going to predict cat or dog by the help of Convolutional neural network. I have taken the dataset from kaggle https://www.kaggle.com/tongpython/cat-and-dog. In this dataset there is two class cats and dogs Read more…

By pasqualebrownlow, ago

Real-Time Sentiment Analysis of a Phone Call Using NLTK and TextBlob in Python

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…

By georgiannacambel, ago

Bank Customer Satisfaction Prediction Using CNN and Feature Selection

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…

By georgiannacambel, ago

Human Activity Recognition Using Accelerometer Data

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…

By georgiannacambel, ago

Deep Learning with TensorFlow 2.0 Tutorial – Building Your First ANN with TensorFlow 2.0

Deep learning with Tensorflow # pip install tensorflow==2.0.0-rc0 # pip install tensorflow-gpu==2.0.0-rc0 Watch Full Lesson Here: Objective Our objective for this code is to build to an Artificial neural network for classification problem using tensorflow and keras libraries. We will try to learn how to build a nerual netwroks model Read more…

By ignacioberrios, ago

Complete Seaborn Python Tutorial for Data Visualization in Python

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…

By georgiannacambel, ago

Sentiment Analysis Using Scikit-learn

Sentiment Analysis Objective In this notebook we are going to perform a binary classification i.e. we will classify the sentiment as positive or negative according to the `Reviews’ column data of the IMDB dataset.  We will use TFIDF for text data vectorization and Linear Support Vector Machine for classification. Natural Read more…

By pasqualebrownlow, ago