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Accurate Data Column Order for Predictive Modeling

Quick note on an error I made in the earlier version of this. I had 'Age' second here instead of, I think, fourth.

Comparison of Machine Learning Training Formats

Neural Networks: Image Recognition to Handwritten Digits

In section five, we're going to start talking about neural networks. Neural networks are one of the most complex possible models and deal with the most...

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Train-Test Split for Predictive Modeling in Python

We've split up our data into X, which are our inputs, our features, and Y, which is our price in thousands. Now that we've got those, we need to talk about...

How do Beginners Learn Machine Learning?

Visualizing Normal Distribution with NumPy

If we take a look at a normal distribution now, again, like the bell curve, we can use a NumPy method to get a normal distribution of random numbers. So let's...

Data Selection with LOC and ILOC in Pandas

For this next part, I'd like you to get a little practice with loc and iloc. So our task is to get the last three rows and last three columns.

Variance: The Core of Statistical Analysis

The next measurement that we might look at is the variance. I alluded to this in a previous video.

Data Frames: Concatenating Columns for Effective Splitting

Now, we have these columns for high, low, and medium. We want to CONCATENATE them to the end of our data frame so that we can later split the data frame into...

Implementing User Input for Percentile Calculation in Python

Let’s give you a little challenge. Take this age group and execute the block as shown.