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001. Introduction.mp4
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MP4
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9.7 MB
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001. Introduction.srt
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SRT
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2.7 KB
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002. Meet your lecturers.mp4
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MP4
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13.8 MB
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002. Meet your lecturers.srt
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SRT
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3.6 KB
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003. Course overview.mp4
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MP4
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34.6 MB
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003. Course overview.srt
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SRT
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10.2 KB
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004. Competition Mechanics.mp4
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MP4
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24.9 MB
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004. Competition Mechanics.srt
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SRT
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10.9 KB
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005. Kaggle Overview [screencast].mp4
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MP4
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32.4 MB
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005. Kaggle Overview [screencast].srt
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SRT
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9.2 KB
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006. Real World Application vs Competitions.mp4
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MP4
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20 MB
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006. Real World Application vs Competitions.srt
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SRT
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8.7 KB
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007. Recap of main ML algorithms.mp4
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MP4
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33.4 MB
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007. Recap of main ML algorithms.srt
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SRT
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13.6 KB
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008. Software Hardware Requirements.mp4
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MP4
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21.5 MB
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008. Software Hardware Requirements.srt
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SRT
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7.9 KB
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009. Overview.mp4
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MP4
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25.7 MB
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009. Overview.srt
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SRT
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9 KB
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010. Numeric features.mp4
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MP4
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48.3 MB
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010. Numeric features.srt
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SRT
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18.6 KB
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011. Categorical and ordinal features.mp4
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MP4
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40.5 MB
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011. Categorical and ordinal features.srt
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SRT
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13.2 KB
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012. Datetime and coordinates.mp4
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MP4
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32.4 MB
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012. Datetime and coordinates.srt
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SRT
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10.2 KB
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013. Handling missing values.mp4
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MP4
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37.9 MB
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013. Handling missing values.srt
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SRT
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12.8 KB
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014. Bag of words.mp4
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MP4
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38 MB
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014. Bag of words.srt
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SRT
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13.7 KB
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015. Word2vec, CNN.mp4
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MP4
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46 MB
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015. Word2vec, CNN.srt
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SRT
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16.8 KB
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016. Final project overview.mp4
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MP4
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17.8 MB
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016. Final project overview.srt
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SRT
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5.4 KB
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017. Exploratory data analysis.mp4
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MP4
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24 MB
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017. Exploratory data analysis.srt
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SRT
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9.7 KB
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018. Building intuition about the data.mp4
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MP4
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22.3 MB
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018. Building intuition about the data.srt
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SRT
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9.4 KB
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019. Exploring anonymized data.mp4
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MP4
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43 MB
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019. Exploring anonymized data.srt
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SRT
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18.2 KB
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020. Visualizations.mp4
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MP4
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42.6 MB
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020. Visualizations.srt
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SRT
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16.1 KB
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021. Dataset cleaning and other things to check.mp4
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MP4
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25.8 MB
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021. Dataset cleaning and other things to check.srt
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SRT
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9.6 KB
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022. Springleaf competition EDA I.mp4
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MP4
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20.1 MB
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022. Springleaf competition EDA I.srt
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SRT
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9 KB
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023. Springleaf competition EDA II.mp4
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MP4
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44.4 MB
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023. Springleaf competition EDA II.srt
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SRT
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19.9 KB
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024. Numerai competition EDA.mp4
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MP4
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22 MB
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024. Numerai competition EDA.srt
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SRT
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7.7 KB
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025. Validation and overfitting.mp4
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MP4
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34.1 MB
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025. Validation and overfitting.srt
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SRT
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13.3 KB
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026. Validation strategies.mp4
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MP4
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26.1 MB
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026. Validation strategies.srt
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SRT
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9.1 KB
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027. Data splitting strategies.mp4
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MP4
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56.2 MB
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027. Data splitting strategies.srt
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SRT
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18.7 KB
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028. Problems occurring during validation.mp4
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MP4
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71 MB
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028. Problems occurring during validation.srt
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SRT
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25.4 KB
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029. Basic data leaks.mp4
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MP4
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22.1 MB
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029. Basic data leaks.srt
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SRT
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8.1 KB
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030. Leaderboard probing and examples of rare data leaks.mp4
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MP4
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34.1 MB
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030. Leaderboard probing and examples of rare data leaks.srt
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SRT
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12.2 KB
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031. Expedia challenge.mp4
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MP4
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35.7 MB
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031. Expedia challenge.srt
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SRT
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11.4 KB
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032. Motivation.mp4
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MP4
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27.5 MB
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032. Motivation.srt
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SRT
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10.6 KB
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033. Regression metrics review I.mp4
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MP4
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46.4 MB
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033. Regression metrics review I.srt
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SRT
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17.5 KB
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034. Regression metrics review II.mp4
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MP4
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29.2 MB
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034. Regression metrics review II.srt
|
SRT
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9.5 KB
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035. Classification metrics review.mp4
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MP4
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70.3 MB
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035. Classification metrics review.srt
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SRT
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24.3 KB
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036. General approaches for metrics optimization.mp4
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MP4
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23.7 MB
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036. General approaches for metrics optimization.srt
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SRT
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8 KB
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037. Regression metrics optimization.mp4
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MP4
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35.8 MB
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037. Regression metrics optimization.srt
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SRT
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12.1 KB
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038. Classification metrics optimization I.mp4
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MP4
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26.3 MB
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038. Classification metrics optimization I.srt
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SRT
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8.9 KB
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039. Classification metrics optimization II.mp4
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MP4
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25.2 MB
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039. Classification metrics optimization II.srt
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SRT
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8.7 KB
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040. Concept of mean encoding.mp4
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MP4
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30.5 MB
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040. Concept of mean encoding.srt
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SRT
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9.9 KB
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041. Regularization.mp4
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MP4
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28.4 MB
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041. Regularization.srt
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SRT
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9.2 KB
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042. Extensions and generalizations.mp4
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MP4
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39.2 MB
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042. Extensions and generalizations.srt
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SRT
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12.2 KB
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043. Hyperparameter tuning I.mp4
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MP4
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25 MB
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|
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043. Hyperparameter tuning I.srt
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SRT
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8.8 KB
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044. Hyperparameter tuning II.mp4
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MP4
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43.3 MB
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044. Hyperparameter tuning II.srt
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SRT
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15.1 KB
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045. Hyperparameter tuning III.mp4
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MP4
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47.2 MB
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045. Hyperparameter tuning III.srt
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SRT
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15.2 KB
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046. Practical guide.mp4
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MP4
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59.1 MB
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046. Practical guide.srt
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SRT
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22.2 KB
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047. KazAnova's competition pipeline, part 1.mp4
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MP4
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33.8 MB
|
|
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047. KazAnova's competition pipeline, part 1.srt
|
SRT
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23.4 KB
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048. KazAnova's competition pipeline, part 2.mp4
|
MP4
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32 MB
|
|
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048. KazAnova's competition pipeline, part 2.srt
|
SRT
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21.6 KB
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049. Statistics and distance based features.mp4
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MP4
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21 MB
|
|
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049. Statistics and distance based features.srt
|
SRT
|
6.8 KB
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050. Matrix factorizations.mp4
|
MP4
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24.1 MB
|
|
|
050. Matrix factorizations.srt
|
SRT
|
9 KB
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051. Feature Interactions.mp4
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MP4
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20.4 MB
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|
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051. Feature Interactions.srt
|
SRT
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7.8 KB
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052. t-SNE.mp4
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MP4
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21.6 MB
|
|
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052. t-SNE.srt
|
SRT
|
7.5 KB
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053. Introduction into ensemble methods.mp4
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MP4
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10.7 MB
|
|
|
053. Introduction into ensemble methods.srt
|
SRT
|
7 KB
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054. Bagging.mp4
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MP4
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15.9 MB
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|
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054. Bagging.srt
|
SRT
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11 KB
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055. Boosting.mp4
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MP4
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27.9 MB
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|
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055. Boosting.srt
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SRT
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19.2 KB
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056. Stacking.mp4
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MP4
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30.8 MB
|
|
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056. Stacking.srt
|
SRT
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19 KB
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057. StackNet.mp4
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MP4
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29.2 MB
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|
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057. StackNet.srt
|
SRT
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18.1 KB
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058. Ensembling Tips and Tricks.mp4
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MP4
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25.6 MB
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058. Ensembling Tips and Tricks.srt
|
SRT
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18 KB
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059. Crowdflower Competition.mp4
|
MP4
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36.1 MB
|
|
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059. Crowdflower Competition.srt
|
SRT
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15.5 KB
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060. Springleaf Marketing Response.mp4
|
MP4
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24.2 MB
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060. Springleaf Marketing Response.srt
|
SRT
|
7.9 KB
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061. Microsoft Malware Classification Challenge.mp4
|
MP4
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68.4 MB
|
|
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061. Microsoft Malware Classification Challenge.srt
|
SRT
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23 KB
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062. Walmart Trip Type Classification.mp4
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MP4
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29.5 MB
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062. Walmart Trip Type Classification.srt
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SRT
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10 KB
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063. Acquire Valued Shoppers Challenge, part 1.mp4
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MP4
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34.8 MB
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063. Acquire Valued Shoppers Challenge, part 1.srt
|
SRT
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25.1 KB
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064. Acquire Valued Shoppers Challenge, part 2.mp4
|
MP4
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30.9 MB
|
|
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064. Acquire Valued Shoppers Challenge, part 2.srt
|
SRT
|
21.9 KB
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[CourseClub.NET].url
|
URL
|
102.4 B
|
|
|
[FCS Forum].url
|
URL
|
102.4 B
|
|
|
[FreeCourseSite.com].url
|
URL
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102.4 B
|
![[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers](/static/img/no-torrent-image.png "[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers")
