satyajit_gantayat

This project aims to analyze historical real estate pricing data to predict future price trends based on factors such as location, square footage, and market conditions. Using data scraping, cleaning, and visualization techniques, the goal is to uncover actionable insights that guide investment decisions and understand market behavior.

This project focuses on analyzing Airbnb price trends using data sourced from Kaggle. The entire workflow includes data acquisition, processing, storing, and visualization using various tools such as Google Drive, Python, MySQL, and Power BI. The outcome is an insightful dashboard for visualizing Airbnb pricing trends.

Demo of using gRPC API communication

A simple application of MLP neural network for ticket confirmation probability prediction

Google IT Automation with Python Professional Certificate - Practice files

Coursera week3 lab