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Image Recognition in Python using Machine Learning
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
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
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
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
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
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
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
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