IBM Developer Advocates Anam Mahmood and Sidra Ahmed conducted a workshop on 3rd February. Their goal was to show how everyone can easily use Jupyter Notebooks in IBM Watson Studio to run small pieces of code that process your data and immediately show you the results of your computation in an interactive environment and quickly build machine learning models. The session was divided into two sections. The first half of the workshop was led by Sidra, where she welcomed the audience and talked about the agenda. She then explained to them about Data Science, Artificial Intelligence, Machine Learning, and Deep Learning.

In this article, using Telegram and Python, I will show how to build a friendly Bot with multiple functions that can chat with question-answering conversations (short-term information) and store user data to recall in the future (long-term information). All this started because a friend of mine yelled at me for not remembering her birthday. I don't know if that has ever happened to you. So I thought I could pretend I remember birthdays while I actually have a Bot doing it for me. Now I know what you're thinking, why building something from scratch instead of using one of the millions of calendar apps around?

TL;DR --In this article, I want to share my learnings, process, tools, and frameworks for completing a 12-hour ML challenge. I hope you can find it useful for your personal or professional projects. Disclaimer: this is not sponsored by Streamlit, any of the tools I mention, nor any of the firms I work for. Follow me on Medium, LinkedIn, or Twitter. It used to be the time of the year when I hung out with my wife and puppy on the couch and binge-watched movies and shows.