## Sarcasm dataset - Tokenizing, Sequencing and Padding

In the previous articles we have discussed Tokenizing, Sequencing and Padding the sentences…now we will apply those methods on a real...

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Krishna Kankipati

Sarcasm dataset - Tokenizing, Sequencing and Padding

In the previous articles we have discussed Tokenizing, Sequencing and Padding the sentences…now we will apply those methods on a real...

Krishna Kankipati

NLP with Tensorflow — Padding sentences

Alright, in the previous post we have learned to tokenize and sequence the tokens from a sentence. We can observe that the length of...

Krishna Kankipati

NLP with Tensorflow — Tokenizing and Sequencing the sentences

When we are dealing with images, it is easy for us to feed them into a neural network, as the pixel values were already numbers. But what...

Sai Manoj

MACHINE LEARNING: PRODUCT SEGMENT USING CLUSTERING

In this post we will learn about clustering and understand the role of clusters and their importance in analytics and learn to built...

Sai Manoj

Machine Learning Algorithm- Logistic Regression

What is Regression? Regression is one of the most popular supervised learning algorithms in predictive analytics. A regression model...

Sai Manoj

Machine Learning: Simple Linear Regression

What is Simple Linear Regression? Simple linear regression is a statistical technique used for finding the existence of an association...

Krishna Kankipati

Artificial Neural Networks(Part-3) - Loss and Cost Functions, and Gradient Descent.

In this part of the ANN, we will try to learn what is a Loss Function and how it is used to calculate a Cost function and finally...

Krishna Kankipati

Artificial Neural Networks(Part 2)- Structure of a Simple Neural Network and its implementation.

Understanding a Simple Neural Network and its implementation in python.

Krishna Kankipati

Artificial Neural Networks (Part 1)-Role of Activation Functions, Weights and Bias.

Artificial Neural Network(ANN) is a software implementation of neural structure of Human brain!