How to do Category encoding and string lookup using keras?

How to do Category encoding and string lookup using keras?

How to do Category encoding and string lookup using keras?

This recipe helps you do Category encoding and string lookup using keras


Recipe Objective

Category encoding and string lookup using keras.

one-hot encoding is the representation of categorical variables as binary vectors.

The keras provides a to_categorical() method. It can encode the strings data into numerical or integer data.

Step 1- Importing Libraries.

from keras.preprocessing.text import one_hot from keras.preprocessing.text import text_to_word_sequence from keras.preprocessing.text import Tokenizer

Step 2- Encoding the text.

Define the text that you want to encode.

#Define text text = 'a book or other written or printed work, regarded in terms of its content rather than its physical form' #Size of the vocabulary words = set(text_to_word_sequence(text)) vocab = len(words)

Step 3- One hot encode the text

# integer encode the document result = one_hot(text, round(vocab_size)) print(result)
[6, 2, 7, 3, 2, 7, 7, 1, 5, 2, 7, 4, 1, 2, 7, 4, 1, 4, 5]

Relevant Projects

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.