This post becomes the first-ever quick read tip of the new upcoming section on my blog. My goal of posting quick reads is to provide an easy, simple, uncomplicated, and clear understanding of some, of course, data science-related […]
The goal of this project is to create my own dataset for future analysis. Data was extracted from the RentHop site and store it into a CSV file (apartments_leasing.csv).
Skills: Web Scraping, Python, Pandas, BeautifulSoup
The key steps of PCA in practice using functions only from NumPy library. PCA is a technique commonly used for linear dimensionality reduction. The idea behind PCA is to find lower dimensional representations of data that retain as much information as possible.
Skills: PCA, NumPy, Python
This is an Analytic Report of legal gender differentiation around the world. The dataset was provided by World Bank Group, it contains information regarding laws and regulations, and represent 187 countries divided into 7 regions, from 2009 to 2018.
Skills: Python, Matplotlib, Analytics