Posts by Shagun Bidawatka

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Image Recognition in Python using Machine Learning

By Shagun Bidawatka

Image Recognition is the process of providing a category to the image. We have to train our machine and build a model that can recognize the image for this purpose we use Keras and.... Read More

ElGamal Encryption Algorithm in Python

By Shagun Bidawatka

Elgamal Encryption is a type of asymmetric key algorithm used for encryption. It is used for public-key cryptography and is based on the Diffie-Hellman key exchange. Here, I will i.... Read More

keras.fit() and keras.fit_generator() methods in Python

By Shagun Bidawatka

Keras deep learning library provides three different methods to train Deep Learning models. Each model has its own specialized property to train a deep neural network. Here we will.... Read More

What are Deepfakes in terms of Machine Learning

By Shagun Bidawatka

Deepfakes is the artificial media, it may be image, audio, or video. Here, we will discuss What are Deepfakes, How are they created, their pros and cons. What are Deepfakes? Deepfa.... Read More

Click module in Python

By Shagun Bidawatka

Click package in Python is used to create command-line (CLI) applications. It was created for the Flask Web Development as a supporting library. Here, we will discuss in detail abo.... Read More

Feature Scaling in Machine Learning using Python

By Shagun Bidawatka

When we work on machine learning models, we go through datasets that had multiple features with varying properties. So, it becomes an obstacle to our machine learning algorithm. Fe.... Read More

scipy.sparse.csgraph.depth_first_order in Python

By Shagun Bidawatka

depth_first_order is a function that is present in scipy.sparse.csgraph module of Python. Here we will discuss the introduction of scipy, sparse, csgraph, and depth_first_order wit.... Read More

Normalize features in TensorFlow with Python

By Shagun Bidawatka

In Machine Learning, we perform normalization on our dataset to change the numeric columns values present in the dataset. The goal is to get a common scale and get the values in a .... Read More

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