01 - Being a Python statistics MVP.mp4 (3.4 MB)
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02 - What you should know.mp4 (998.65 KB)
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03 - Using GitHub Codespaces with this course.mp4 (7.82 MB)
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01 - Loading data.mp4 (13.31 MB)
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02 - Strings and categories.mp4 (35.71 MB)
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03 - Cleaning numbers.mp4 (41.69 MB)
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04 - Shrinking numbers.mp4 (14.6 MB)
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05 - Challenge Clean Ames.mp4 (3.22 MB)
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06 - Solution Clean Ames.mp4 (15.03 MB)
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01 - Categorical exploration.mp4 (7.7 MB)
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02 - Histograms and distributions.mp4 (8.05 MB)
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03 - Outliers and Z-scores.mp4 (19.34 MB)
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04 - Correlations.mp4 (25.99 MB)
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05 - Scatter plots.mp4 (15.49 MB)
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06 - Visualizing categorical and numerical values.mp4 (25.65 MB)
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07 - Comparing two categoricals.mp4 (13.56 MB)
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08 - Challenge Explore Ames.mp4 (802.08 KB)
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09 - Solution Explore Ames.mp4 (6.84 MB)
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01 - Linear regression.mp4 (16.74 MB)
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02 - Interpreting linear regression models.mp4 (10.22 MB)
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03 - Standardizing values.mp4 (18.96 MB)
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04 - Regression with XGBoost.mp4 (19.92 MB)
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05 - Challenge Predict Ames.mp4 (1.22 MB)
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06 - Solution Predict Ames.mp4 (8.8 MB)
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01 - Exploring data.mp4 (6.59 MB)
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02 - Visualizing distributions.mp4 (12.61 MB)
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03 - Running statistical tests.mp4 (12.74 MB)
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04 - Testing for normality.mp4 (9.66 MB)
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05 - Challenge Checking square footage distributions.mp4 (646.88 KB)
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06 - Solution Checking square footage distributions.mp4 (9.25 MB)
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01 - Next steps.mp4 (5.71 MB)
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