Learn Machine Learning

Visualizing and Interpreting Data

Check data for null values, confirm none exist, verify class imbalance, and examine random samples visually. Watch this tutorial to learn the key concepts and...

Preparing Titanic Dataset: Splitting and Scaling Techniques

Next, we're going to split our data. We don't actually need to split it quite as much as we normally do.

Exploring the K-Nearest Neighbors Algorithm

Here in part three, we're going to be working on the k-nearest neighbors machine learning algorithm. The k-nearest neighbors algorithm is a supervised machine...

Neural Network Training Process for Digit Recognition

Before we start normalizing data, getting it all set up, and training our model, let's talk about that process a little bit more. We're going to feed the...

Visualizing Data Relationships with Seaborn Pair Plots

Making a Seaborn pair plot is ridiculously easy. I mean, you know, assuming you already know how to do it.

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Model Compilation and Training in Neural Networks

We've built our model. Before we actually run it, which we'll do in just a moment, we need to compile it.

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