Practice at Dimensionality Reduction with SKlearn

I found some free time and thought I'd finally get some more practice at dimensionality reduction. With this goal in mind, I went onto Kaggle and found a competition(Estimate house prices) which looked appropriate to practice these skill with. Throughout this post I walk through the steps I took from cleaning and standardizing the data, to finally performing PCA and fitting a simple linear regression to the top five most influential eigenvectors! Not the most accurate regression ever, but great practice and surprisingly efficient given it drops 81 variables into only 5.

Return on Marketing Investment

Another project completed during Udemy's Tableau A-Z course. This was more focused on exploration and analysis of the data provided. Cluster analysis in particular was explored and evaluated throughout.

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