Build a Data Science Portfolio that Stands Out Using These Platforms

4 platforms for portfolio building — GitHub, Kaggle, LinkedIn & Medium

Platforms for data science portfolio building. Image by Benjamin O. Tayo.

Introduction

5 Reasons why a data science portfolio is important

Platforms for Building a Data Science Portfolio

1. GitHub

ML_Model_for_Predicting_Ships_Crew_Size Author: Benjamin O. Tayo Date: 4/8/2019 We build a simple model using the cruise_ship_info.csv data set for predicting a ship's crew size. This project is organized as follows: (a) data preprocessing and variable selection; (b) basic regression model; (c) hyper-parameters tuning; and (d) techniques for dimensionality reduction. cruise_ship_info.csv: dataset used for model building. Ship_Crew_Size_ML_Model.ipynb: the Jupyter notebook containing code.

2. Kaggle

3. LinkedIn

4. Medium

Why should you consider writing data science articles on Medium?

Additional data science/machine learning resources

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Personal Finance Analytics, Materials Sciences, Biophysics

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