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    Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

    This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting,...

    Clustering in R

    This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available. Introduction Clustering is...

    Understanding Causal Inference

    This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data...

    Time Series with R

    This article delves into methods for analyzing multivariate and univariate time series data. A complementary Domino project is available. Introduction

    Exploring US Real Estate Values with Python

    This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary...

    Deep Reinforcement Learning

    This article provides an excerpt "Deep Reinforcement Learning" from the book, Deep Learning Illustrated by Krohn, Beyleveld, and Bassens. The article...

    Manual Feature Engineering

    Many thanks to AWP Pearson for the permission to excerpt "Manual Feature Engineering: Manipulating Data for Fun and Profit" from the book, Machine...

    Manipulating Data with dplyr

    Special thanks to Addison-Wesley Professional for permission to excerpt the following "Manipulating data with dplyr" chapter from the book, ...