Learning Repository of modules of machine learning and computer vision, using python programming langauge.

WIP : Using Haversine formula and folium maps in python, we aim to create a system to track citizens and send them alerts in a pandemic scenario, like the COVID-19. For this system, we have developed a python script, an android app and a Firebase DB

Coded in Python. Given one/ a list of location (latitude and longitude), the app will generate a world map (.html) pinning the input location(s) as well as the popup windows with their local weather forecast in the following 12 hrs. (Click the link below to see the demo)

Python folium library was used. Coronavirus world map and detailed Turkey map were made.

Part of the IBM Data Science Professional Certification

🚀 A Django App to Calculate and Visualize Distance Between Two Points with Folium Maps (leaflet.js).

The purpose of this project is to create AGH University of Science and Technology navigator app using Dijkstra's algorithm to find the shortest paths between the buildings.

Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.

Exploratory data analysis projects

Testes com mapas e selenium

This project uses Dijkstra’s algorithm to find the shortest path among the 10 cities Which can be implemented among any number of cities in the real world.Folium package is used to display the map for better understanding of the path from source to destination.Also, Tkinter GUI is used for user interface and to create a better interaction betwee…

Content Based Recommendation Engine Using Cosine Similarity

🏠 부동산 오피스텔, 원/투룸 매물 데이터 크롤링

Данный веб-сайт предоставляет координаты выбранных адресов и их положение на карте. Загрузите CSV файл, в котором нужные адреса находятся в столбце 'address' или 'Address'.

Detecting Over Speeding And Harsh Breaking

International Space Station tracker | Django

Using Machine learning to suggest best hotels around user

A refactoring of my old Coursera project; I wanted to answer, based on neighborhood venue types, whether Manhattan or San Francisco offers more "bang for your buck." I compared rent prices and venues per neighborhood for both cities. I used k-means clustering analysis and leveraged data using the Foursquare API.

This is an extensive analysis on Datasets on COVID 19 from Kaggle

Geospatial data analysis, street network analysis, spatial autocorrelation, maps