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A new way of Scraping the Web: Requests-HTML

Jan 8, 20219 min read 275 views

Most of us when think about doing web scraping and HTML parsing using python, we use tools like beautiful-soup, scrapy, regular expressions etc. In this article, I will show you the basics of web scraping with Requests-HTML library, by Kenneth Reitz...

Introduction to Image Classification using CNNs in PyTorch

Dec 31, 202011 min read 346 views

In this article, we will learn about using CNNs in PyTorch. We will use the standard CIFAR10 dataset and perform image classification on it. Importing Libraries import torch import matplotlib.pyplot as plt import numpy as np Data loading import torc...

Feed Forward Networks using PyTorch

Dec 29, 20208 min read 210 views

In this article, we will see in how many ways we can implement Feed Forword Neural Networks in PyTorch. For this we will be using a three neurons network that takes two input features and gives output through the last neuron as shown in fig. Importi...

Ridge Regression using Neural Network

Dec 29, 20207 min read 91 views

In this article, we are going learn how to use ridge regression algorithm using neural networks and then compare the results we get with an RidgeRegressor model that comes built-in sklearn module. import numpy as np import matplotlib.pyplot as plt ...

Working with Hashnode RSS feed in Python

Dec 28, 20205 min read 118 views

In article, we will be seeing how extract feed and posts details using RSS feed for a Hashnode blog. Although we are going to use it for blogs on [Hashnode] it can be used for other feeds as well What is RSS? RSS stands for Rich Site Summary or Reall...

Concatenating PDF files using Python

Dec 22, 20202 min read 305 views

Sometimes we have to deal with multiple PDF files and I've seen often that people want if pdfs can be merged or concatenated as one single file. We can do that with Python thanks to the PyPDF2 library, which is a very handy tool when it comes to work...