Technical and Non-Technical books that will help you a become better data scientist — Reading is unquestionably one of the most important attributes of a data scientist. With the influx of information through YouTube videos, courses and blogs (yes, I get the irony), we think that we have access to everything a data scientist needs to understand technical concepts. However, there is so much…

The state-of-the-art in feature importance — If you’re stuck behind a paywall, click here to get my friend link and view this article. Machine learning interpretability is a topic of growing importance in this field. Interpret means to explain or to present in understandable terms. In the context of ML systems, interpretability is the ability to…

Using object-oriented programming, not conditional programming. — How often have you had a great ML project idea that you think you would be able to show-off on your resume? You quickly collect data, analyze it and build models on it; all inside a Jupyter Notebook and then you face your worst nightmare— somebody asks you to deploy…

Building and deploying a multipage Python webapp in a few simple steps — Following the reception of my previous article on creating a multi-page webapps using Streamlit, I decided to write another article about building a similar webapp using a different framework — Dash. This article will introduce you to Dash applications and provide a method to create multipage applications in Dash using…

Discussing a fix to create a Django form which can have a dynamic number of input fields — Recently, I was working on a problem to create an application that can scrape Wikipedia data using a search term and collect the article intro. The application further splits all the sentences and allows the users to save the translations of each sentence of the article in a database. …

Discussing the new features and updates in Python 3.11 and how to install the 3.11 Alpha version — Introduction Every year around October, a new version of Python is released. Prior to each release, there is a 17-month development life-cycle where the code is developed and tested extensively. In this cycle, there is also an alpha phase, which goes until end of April. This is followed by a beta…

A summer fellowship for people looking to make a positive change in society through data science — Data Science has been one of the fastest growing fields and predicted to be one of the most in-demand skills in the coming decade. It has changed the world in the way we access information and solve problems. It has created value for many businesses around the globe, but the…

Efficient and Quick Text Analysis Tool built using Streamlit including Text Summarization, POS Tagging and Named Entity Recognition. — Introduction to Text Analysis Text analytics is the automated process of translating large volumes of unstructured text into quantitative data to uncover insights, trends, and patterns. Combined with data visualization tools, this technique enables companies to understand the story behind the numbers and make better decisions. It is an artificial intelligence (AI) technology that…

Implementing Semideviation, VaR and CVaR risk estimation strategies in Python — Risk management is the key to making smart investing decisions which lead to profitable outcomes. While doing technical analysis, investors often focus on the returns of an asset and do not focus a lot on the risk involved. This can often lead to unexpected outcomes. The most commonly used form…