Some years ago, when I created my first simple linear regression model I had no a clear idea of how to evaluate my model or even, if it was a good predictor or not. Now, I decided to […]

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

Create your own Python package and publish it into PyPI In this article, you will find simple steps to convert your code into a Python package, upload it to the Python Package Index site a.k.a PyPI repository. Let’s […]

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 objective of this project is to predict the popularity of articles published by the Mashable website, based on the number of shares of a specific article.

Skills: K-Nearest Neighbor, Random Forest, Classification

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

Using a Linear Regression Algorithm, this project was developed to predict the chance of admission of foreign students to Master’s Degree Programs in American Colleges.

Skills: Linear Regression, Scikit Learn, Supervised Learning, Seaborn

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