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Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning

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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.

An experiment in converting Matplotlib bar charts and scatter plots created using pandas to Plotly plots.

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.

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.

  1. Kaggle
  2. Medium

Also check out delbot, my tutorial for building an NLP-based, voice-driven bot from scratch in Python.

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Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning

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