Pinned Repositories
advanced-data-analytics-using-python
Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Azuretechcommunitites
Azure tech communitites webinar series - presentations
beginning-power-bi-2ed
Source code for 'Beginning Power BI' by Dan Clark
beginning-python-3ed
Source code for 'Beginning Python' by Magnus Lie Hetland
pepekalo's Repositories
pepekalo/Cursos
Cursos
pepekalo/CursosPlatzi
Guía de resumen de los cursos de Platzi
pepekalo/data-analysis-and-visualization-using-python
Source Code for 'Data Analysis and Visualization Using Python' by Dr. Ossama Embarak
pepekalo/beginning-power-bi-2ed
Source code for 'Beginning Power BI' by Dan Clark
pepekalo/website-scraping-w-python
Source code for 'Website Scraping with Python' by Gabor Laszlo Hajba
pepekalo/learn-to-prog-w-python-3
Source code for 'Learn to Program with Python 3' by Irv Kalb
pepekalo/MachineLearning
pepekalo/advanced-data-analytics-using-python
Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
pepekalo/practical-web-scraping-for-data-science
Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens
pepekalo/data_science_chile
Small list of data science related courses in Chile 📈📊🇨🇱
pepekalo/practical-data-science
Source code for 'Practical Data Science' by Andreas François Vermeulen
pepekalo/learn-data-analysis-w-python
Source code for 'Learn Data Analysis with Python; by A.J. Henley and Dave Wolf
pepekalo/practical-python-ai-projects
Source code for 'Practical Python AI Projects' by Serge Kruk
pepekalo/leonardo-youtube
pepekalo/Cleaning-Titanic-Data
One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.
pepekalo/statlearning-notebooks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).