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.
Practical tips and guidance on how to improve your data science workflow. This notebook accompanies my Medium article in my Turbocharge your Workflow series, which is a collection of experiences I have acquired over the years and that has helped me improve my workflow.
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.
An experiment in converting Matplotlib bar charts and scatter plots created using pandas to Plotly plots. This notebook is a part of my Medium article on the same topic.
EDA and predictive experiments on Airbnb data of New York City. In this notebook, I have treated both price prediction and number-of-guests prediction problems in two ways: as a regression problem and as a classification problem. There is a comparison of both approaches.
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.