Introduction For as long as I remember , I always wanted to have some sort of side hustle , aside from my job . However , I had no direction on what to do I have tried numerous approaches to capitalize on many ideas that I thought might work, but…

Introduction In this article, I will discuss and provide examples in python of different types of hypothesis tests and highlight their significance in the fields of data science and artificial intelligence. Hypothesis testing is an essential tool in data science as it provides a systematic and objective way to test…

Introduction ChatGPT is taking the world by storm. I really thought it was just another dialogue language optimizer limited by a pre-defined corpus for its data, but then I started using it, and those results were stunning. Simply you can ask this beautiful AI any question comes in mind and…

Table of Contents 1. Introduction 2. Proof of work 3. Hash algorithms 4. Proof of work in bitcoin 5. Steps of Proof of work in bitcoin 6. What will happen afterwards once new blocks are created and added to the bitcoin blockchain? 7. Environmental, Social, and Governance (ESG) debate on…

Introduction Let’s do a quick recap of our previous discussion on implementing the Monte Carlo simulation model for a portfolio. We talked about the definition of Monte Carlo and why is it an important process to consider in many different industries, such as Finance, Retail, investment, etc. We also explained…

Introduction One of my strengths as a data scientist is that I always use the simplest methods and techniques to explain complicated and yet intensive data and Artificial intelligence related concepts. Hence , I will try my best to explain the concept of Monte Carlo simulation and why is it…

An end-to-end explanation on using ML algorithms to predict stock prices — For this exercise, I will use the Yfinance library for scrapping information right away from Yahoo Finance website, Yahoo Finance is a great website that gives a quick glimpse of listed equities, funds, and investment data for the company you are looking for. …

First I would like to approach this mini project as if I have a problem to solve, the project will be solved with adopting K-nearest neighbour (KNN) predictive model , so obviously it is a classification model challenge. In this case I’ve chosen a dataset related to healthcare which is…