Complete guide to building an AI assistant that can answer questions about any file — Introduction So much valuable information is trapped in PDF and image files. Luckily, we have these powerful brains capable of processing those files to find specific information, which in fact is great. But how many of us, deep inside wouldn’t like to have a tool that can answer any question about…

Understand the ins and outs of hierarchical clustering, and how it applies to marketing campaign analysis in the banking industry. — Motivation Imagine being a Data Scientist at a leading financial institution, and your task is to assist your team in categorizing existing clients into distinct profiles:low , average , medium and platinum for loan approval. But, here is the catch: There is no such historical label attached to these customers, so…

Serve your large language models just like you would using OpenAI API but at no cost — Introduction There has been a lot of enthusiasm in the last couple of months around using Large Language Models. …

Leverage large language models, state-of-the-art text and speech analytics tools, and vector databases to build an end-to-end audio recommendation solution. — Introduction Our generation is lucky to have streaming services of any kind at our disposal, from audio to video content. From our phones, laptops, and other digital devices, we can easily feel overwhelmed due to how quickly those services are generated.

Simple yet efficient steps to scrape data from the internet without any coding knowledge. — Motivation There are so much valuable data available on the internet that can generate insights and opportunities for any kind of business. Most of the time, scraping is a common approach for collecting those data from multiple sources. In most cases, data scraping requires programming skills that not everybody is equipped…

This article is a comprehensive overview of the data collection process from Reddit for free. — Introduction In today’s fast-growing data-driven environment, many institutions often face a lot of difficulties when collecting diverse and relevant data. The challenges they face include by are not limited to high costs, and a time-consuming process, making the overall task complex and resource-intensive.

Explore various techniques to efficiently handle missing values and their implementations in Python — Dealing with missing data is a common and inherent issue in data collection, especially when working with large datasets. There are various reasons for missing data, such as : Incomplete information provided by participants of a survey Non-response from those who decline to share information Poorly designed surveys, or removal…

Learning these libraries will take your Python skill to the next level — no doubt. — Introduction Python is undoubtedly one of the most used programming languages and provides a countless number of libraries for Programmers, Data Scientists, and Analysts. With all these years of experience using Python in the industry, I still feel like there are always new hidden tools that I wish I discover earlier…

Making money has never been easier these days with a degree in Data Science — Those who efficiently use their Data Science skillset can easily and quickly increase their revenue. Like a swiss-army, they can operate in multiple fields to generate multiple income. What separates those who increase their revenue from those who don’t is (surprisingly) their ability to create value through different social platforms.