课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
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课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced
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- [Instructor] All right, in your last step, you got your Python libraries loaded. Now, it's time to dive right into the data. If you plan on running the code for this step, you'll need the course dataset .csv file that you downloaded earlier from the exercise files area of the course. To work with your data, you need to load it into Python. Think of this step as opening a treasure chest full of information. In this code snippet, you're doing just that, opening your dataset. See this line of code? It's like telling your computer where to find the treasure chest, your dataset stored in a CSV file and how to open it. Once you've done that, it's like looking inside the chest and saying, "What's in here?" This is where we see the first few rows of your dataset. It's like peeking into the treasure chest and finding some sparkling gems. Each row is like a gem filled with information about houses in the neighborhood, and…
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Importing necessary libraries and dataset overview3 分钟 18 秒
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Loading the data7 分钟 36 秒
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Checking the data info2 分钟 13 秒
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Summary statistics of the dataset5 分钟 49 秒
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Checking the distribution of the variables5 分钟 42 秒
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Applying log transformation and re-checking distribution3 分钟 6 秒
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Challenge: Preparation1 分钟 5 秒
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Solution: Preparation1 分钟 19 秒
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