What is the ultimate toolbox for Data Science? Let's find out by analyzing LinkedIn profiles of Data Scientists in most prominent IT Companies - Amazon, Apple, Facebook, Google and Microsoft. Then test your own LinkedIn profile skillset against skillsets of top tier Data Scientists.
Data was scraped with Scrapy + Selenium combo.
Dataset was preprocessed with pandas.
Tableau Viz embedded in Django application
Datasets comparison with pandas and chartJs
What is a current value of you property? While web is full of various calculators, yet we will try to build another one, with use of Machine Learning algorithms. We'll also create Tableau Vizualization that will allow to determine most attractive investments in the area.
Data was scraped with Scrapy + Selenium combo.
Dataset was preprocessed with pandas.
Tableau Viz embedded in Django application
Machine Learning regressors built with RandomForest & XGBoost
Tableau Dashboard deployment in Django + Heroku environment.
My GitHub Activity meets Radial Bar Chart.
User handling via RESTFUL Api with Token Authorization.
Apply Property Value Estimator algorithm via RESTFul Api.
Let's compare skills that you currently list on LinkedIn profile to the skillset that is most commonly found on Data Scientists profiles via RESTFul Api.
Django RESTful | Docker | Heroku | Bootstrap | Materialize | AWS S3
Postgres | SQLite
pandas | numpy | chart.js
sklearn | xgboost | pandas |
Django.test
Lukasz Malucha