A Python module to use the Tesla Motors Owner API
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Updated
Jun 30, 2024 - Python
A Python module to use the Tesla Motors Owner API
My personal Telegram bot made in Python. It has several features and it's based on Pyrogram.
An IVR Chatbot which can exponentially reduce the burden of companies as well as can improve the consumer/end user experience.
Worked on Real Estate Price data analysis by scraping website from www.99acres.com to help the housing domain as well as estimate the sale value of various houses and open plots.
泰迪杯数据挖掘C题-轨迹挖掘
A Project that uses Zillow research data on Quandl, Prophet for time series forecasting, Altair for vega-lite charts and Folium for an creating interactive map.
Este repositorio 📁 contiene un script📜 desarrollado en python que te permitirá realizar el proceso de geocodificación directa o inverso a través de un cuaderno de jupyter.
Basic example of how to use Google Maps with Django and PostGIS
Weather display for Raspberry Pi and Pimeroni InkyWHAT, with weather data powered by Dark Sky
A web app, functionality similar to uber where an individual can request for a physician who is online and within their areas of residence or close to them. This is in response to the Covid-19 pandemic. Fork this project and let us make it beneficial to the society
Examples on GIS using django
I am determined to improve my basic core skills of python and data science by practice. Found this website very helpful for systematic learning.
Source of Streamlit application for French weather data requests and visualization
Get the Weather Report with Python and Flask using Geolocation.
This repo was created to share how to create an interactive map, visualizing African cities with Geopy and Folium and how to finally deploy it to the web.
Explaratory Data Analysis of Airbnb Istanbul data with maps, visuals and ANOVA tests.
An AI-enabled, state-of-the-art SMART bumper sticker. The future is now.
This project focuses on analyzing datasets provided by Capital Bikeshare, a bike-sharing company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.
Analysis of real estate in the city of Lausanne. Project for the "Applied data analysis" class @ EPFL, 2018.
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