Hello!👋 Welcome to my home on GitHub for my tutorials and experiments in data science, machine learning, and other related stuff. Below is a list of everything I've published so far in this repository.
Airbnb data analysis and predictions
EDA and predictive experiments on Airbnb data of New York City. In this notebook, I have treated price prediction and number-of-guests prediction problems in two ways: as regression problems and as classification problems. There is a comparison of both approaches.
Streamlit 101: An in-depth introduction
Streamlit is an awesome new tool that allows engineers to quickly build highly interactive web applications around their data, machine learning models, and pretty much anything. This tutorial is a deep dive into Streamlit with Airbnb NYC listings data.
More stuff coming up soon! 😎
Watch this repository for more tutorials. Below are links to my profile on other platforms.
Also check out delbot, my tutorial for building an NLP-based, voice-driven bot from scratch in Python.