Python tutorials

Introducing Natural Language Processing (NLP) Service for Pharmacovigilance (PV)

Pharmacovigilance (PV) is the process of collecting, detecting, assessing, monitoring, and preventing Adverse Events (AEs) of pharmaceutical products that ensure product safety. PV is a critical area in which language technology can significantly add value. Due to the increasing occurrences of mentioning drug side effects on social media, the data has become a crucial source of public information for evaluating the consequence and efficiency of the medicine.

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Refactoring: Prepare Your Code to Get Help

At some point in your Python journey, you’ll look to other programmers for help with a sticking point in your code. When that day comes, it’s important to make sure that you’re asking a clear question and that the code is accessible and executable. If you can make it easier for people to help you out, then you’re more likely to get the answers that you need. In this video course, you’ll learn how to: Write a clear, concise question […]

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Text Preprocessing

This is the second step of the NLP end-to-end pipeline. In this step, We generally perform basic preprocessing and then advanced preprocessing but it depends on problem to problem. Let’s see the steps of text preprocessing. Lowercasing:- This is the first step of data preprocessing. It’s compulsory for all kinds of problems because whenever we work on an    

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Python News: What’s New From October 2022

As always, October was an eventful month for the Python community this year. It brought the final Python 3.11 release, a few beta versions of the next major releases of popular Python libraries, and some exciting developments in the Python community. Here’s a quick recap of the most interesting happenings from October 2022. The Python 3.11 Release By far, this month’s most exciting event was the release of Python 3.11, overshadowing a few other interesting news items. October was chosen […]

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Linear Regression From Scratch, and Avoiding Built-ins

Over the past few months, I had done quite a number of courses in Machine Learning (the popular ones) — Machine Learning by Andrew Ng, and the first three courses of the Deep Learning Specialisation. Just as I was thinking whether to move on to Convolutional Neural Networks or not, I thought it would be best to give myself a chance to implement what I’ve learnt so far. It would help me to strengthen my fundamentals, and that would definitely […]

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