Machine Learning with Python: A Step by Step Guide for Absolute Beginners to Program Artificial Intelligence with Python. Neural Networks and Data Science from Pre-Processing to Deep Learning by CODING MARK

Author:CODING, MARK [CODING, MARK]
Language: eng
Format: epub
Published: 2020-09-12T00:00:00+00:00

Organizing the Data

Now that you have had some time to go through and collect the data that you need for your project, it is time to go through and organize it. It is likely that you collected that data from a lot of different sources. This is great for getting some accurate results later on, but it also means that your data will be in a lot of different formats, and will not always work the way that you want. We have to go through and make sure that the data is organized the way that you need for it to work with your chosen algorithm.

One step that a lot of programmers will work on is putting the data into a database. This is an easy setup for us to work with when it is time to push the information through the chosen algorithm. It can also help us to make sure that everything is as organized as possible, in the same format, and that we can spot the outliers and the missing values a little bit easier as well. You can determine if this is the right option for you, but take some time to sort out your data in some manner or another to get the best options.

While we are here, we need to take a look at our outliers. There are often going to be some outliers that show up in your data and whether you focus on these or not will depend on what the outliers say. Sometimes there are just random outliers that fall around your data because you get a random customer who usually doesn’t stop there or something else. This is not something unusual, but we have to be careful about how these outliers are going to affect our results overall.

If there are a lot of outliers that are really far from the normal range, you will find that this is going to affect the kinds of results that you are able to get out of this process. In this case, if there are only a few outliers to work with, then you will want to cut them out so they don’t want to work with them at all.

But then there are times when the outliers can tell you something important. If there are a substantial number of outliers that are away from the average of the rest of your points, and they are all around their own center, then this is going to help us to see that there may be something new we need to check out. This could be a new demographic of customers or a new market that we need to explore, and it is going to be a great option for us to at least look at.

Once you have been able to take a look at the outliers, we also need to take a look at what we are able to do with some of the missing values and the duplicates. While having a few of these in

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