zoi386
Data science enthusiast. Happy to learn new staff. A chemical engineer by vocation, a data scientist by chance.
zoi386's Repositories
zoi386/Applied-Data-Scence-Capstone-Project
zoi386/Applied-Data-Scence-Capstone-Project-II-part
This project includes notebook , report, PP presentation about Protected structures of Galway County, Ireland and their inclusion in modern Tourist prospects.
zoi386/Applied-Data-Science-Capstone
Applied Data Science Capstone is a final part of IBM Data Science Professional certificate. In this repository I will provide Segmenting and Clustering Neighbourhoods of city Toronto through several notebooks.
zoi386/Data-Analysis-and-Visualisation
During five year period from 2015 to 2019 were collected data about World Happiness. The features that were choosen to reflect on nationes happines around the world are Economy, Health, Family, Goverment corruption etc.
zoi386/Paython-Practice-Basic
In this repository, I am going to explore a dataset about New Zealand export and import from different countries around the Globe. For this analysis, I will use only Python. The exploration is made solely for practice purposes.
zoi386/Web-Scraping
Waste amount of data are stored on the Internet. Most accessible and ready to use for Data scientists are those stored in CSV, JSON, or Excel files. Data also can be accessed via API-Application programming interface. But what if we need data that are not available in those formats? We need to scrap them from the website. So, what is 'Web Scraping'? - Web Scraping is a process of collecting data from different websites. Basically, we write code that requests a specified file from the server, that hosting website, from which we want to scrape data. Then it goes through it in order to collect data we instructed code to collect. - There are different web scraping tools that might be used for collecting data, here we going to use the Python library Beautiful Soap.