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Название [FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
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[FreeCoursesOnline.Me].url 133б
[FreeTutorials.Us].url 119б
[FTU Forum].url 252б
001. Introduction.mp4 9.72Мб
001. Introduction.srt 2.72Кб
002. Meet your lecturers.mp4 13.85Мб
002. Meet your lecturers.srt 3.56Кб
003. Course overview.mp4 34.63Мб
003. Course overview.srt 10.19Кб
004. Competition Mechanics.mp4 24.94Мб
004. Competition Mechanics.srt 10.94Кб
005. Kaggle Overview [screencast].mp4 32.38Мб
005. Kaggle Overview [screencast].srt 9.17Кб
006. Real World Application vs Competitions.mp4 20.00Мб
006. Real World Application vs Competitions.srt 8.69Кб
007. Recap of main ML algorithms.mp4 33.45Мб
007. Recap of main ML algorithms.srt 13.59Кб
008. Software Hardware Requirements.mp4 21.53Мб
008. Software Hardware Requirements.srt 7.92Кб
009. Overview.mp4 25.67Мб
009. Overview.srt 8.95Кб
010. Numeric features.mp4 48.31Мб
010. Numeric features.srt 18.56Кб
011. Categorical and ordinal features.mp4 40.55Мб
011. Categorical and ordinal features.srt 13.23Кб
012. Datetime and coordinates.mp4 32.41Мб
012. Datetime and coordinates.srt 10.22Кб
013. Handling missing values.mp4 37.85Мб
013. Handling missing values.srt 12.77Кб
014. Bag of words.mp4 38.04Мб
014. Bag of words.srt 13.66Кб
015. Word2vec, CNN.mp4 45.96Мб
015. Word2vec, CNN.srt 16.84Кб
016. Final project overview.mp4 17.81Мб
016. Final project overview.srt 5.43Кб
017. Exploratory data analysis.mp4 23.95Мб
017. Exploratory data analysis.srt 9.69Кб
018. Building intuition about the data.mp4 22.29Мб
018. Building intuition about the data.srt 9.43Кб
019. Exploring anonymized data.mp4 43.05Мб
019. Exploring anonymized data.srt 18.21Кб
020. Visualizations.mp4 42.59Мб
020. Visualizations.srt 16.13Кб
021. Dataset cleaning and other things to check.mp4 25.83Мб
021. Dataset cleaning and other things to check.srt 9.57Кб
022. Springleaf competition EDA I.mp4 20.11Мб
022. Springleaf competition EDA I.srt 8.96Кб
023. Springleaf competition EDA II.mp4 44.36Мб
023. Springleaf competition EDA II.srt 19.87Кб
024. Numerai competition EDA.mp4 21.95Мб
024. Numerai competition EDA.srt 7.72Кб
025. Validation and overfitting.mp4 34.09Мб
025. Validation and overfitting.srt 13.29Кб
026. Validation strategies.mp4 26.15Мб
026. Validation strategies.srt 9.08Кб
027. Data splitting strategies.mp4 56.16Мб
027. Data splitting strategies.srt 18.69Кб
028. Problems occurring during validation.mp4 71.05Мб
028. Problems occurring during validation.srt 25.44Кб
029. Basic data leaks.mp4 22.14Мб
029. Basic data leaks.srt 8.10Кб
030. Leaderboard probing and examples of rare data leaks.mp4 34.07Мб
030. Leaderboard probing and examples of rare data leaks.srt 12.22Кб
031. Expedia challenge.mp4 35.65Мб
031. Expedia challenge.srt 11.39Кб
032. Motivation.mp4 27.49Мб
032. Motivation.srt 10.58Кб
033. Regression metrics review I.mp4 46.38Мб
033. Regression metrics review I.srt 17.48Кб
034. Regression metrics review II.mp4 29.20Мб
034. Regression metrics review II.srt 9.53Кб
035. Classification metrics review.mp4 70.29Мб
035. Classification metrics review.srt 24.27Кб
036. General approaches for metrics optimization.mp4 23.71Мб
036. General approaches for metrics optimization.srt 8.01Кб
037. Regression metrics optimization.mp4 35.84Мб
037. Regression metrics optimization.srt 12.08Кб
038. Classification metrics optimization I.mp4 26.25Мб
038. Classification metrics optimization I.srt 8.95Кб
039. Classification metrics optimization II.mp4 25.24Мб
039. Classification metrics optimization II.srt 8.71Кб
040. Concept of mean encoding.mp4 30.55Мб
040. Concept of mean encoding.srt 9.90Кб
041. Regularization.mp4 28.37Мб
041. Regularization.srt 9.16Кб
042. Extensions and generalizations.mp4 39.24Мб
042. Extensions and generalizations.srt 12.21Кб
043. Hyperparameter tuning I.mp4 24.96Мб
043. Hyperparameter tuning I.srt 8.84Кб
044. Hyperparameter tuning II.mp4 43.30Мб
044. Hyperparameter tuning II.srt 15.13Кб
045. Hyperparameter tuning III.mp4 47.18Мб
045. Hyperparameter tuning III.srt 15.17Кб
046. Practical guide.mp4 59.12Мб
046. Practical guide.srt 22.21Кб
047. KazAnova's competition pipeline, part 1.mp4 33.81Мб
047. KazAnova's competition pipeline, part 1.srt 23.44Кб
048. KazAnova's competition pipeline, part 2.mp4 32.00Мб
048. KazAnova's competition pipeline, part 2.srt 21.55Кб
049. Statistics and distance based features.mp4 20.96Мб
049. Statistics and distance based features.srt 6.82Кб
050. Matrix factorizations.mp4 24.14Мб
050. Matrix factorizations.srt 9.02Кб
051. Feature Interactions.mp4 20.41Мб
051. Feature Interactions.srt 7.77Кб
052. t-SNE.mp4 21.56Мб
052. t-SNE.srt 7.47Кб
053. Introduction into ensemble methods.mp4 10.68Мб
053. Introduction into ensemble methods.srt 7.01Кб
054. Bagging.mp4 15.93Мб
054. Bagging.srt 11.00Кб
055. Boosting.mp4 27.94Мб
055. Boosting.srt 19.17Кб
056. Stacking.mp4 30.78Мб
056. Stacking.srt 18.99Кб
057. StackNet.mp4 29.25Мб
057. StackNet.srt 18.07Кб
058. Ensembling Tips and Tricks.mp4 25.59Мб
058. Ensembling Tips and Tricks.srt 17.97Кб
059. Crowdflower Competition.mp4 36.12Мб
059. Crowdflower Competition.srt 15.47Кб
060. Springleaf Marketing Response.mp4 24.24Мб
060. Springleaf Marketing Response.srt 7.90Кб
061. Microsoft Malware Classification Challenge.mp4 68.35Мб
061. Microsoft Malware Classification Challenge.srt 22.98Кб
062. Walmart Trip Type Classification.mp4 29.55Мб
062. Walmart Trip Type Classification.srt 9.98Кб
063. Acquire Valued Shoppers Challenge, part 1.mp4 34.77Мб
063. Acquire Valued Shoppers Challenge, part 1.srt 25.14Кб
064. Acquire Valued Shoppers Challenge, part 2.mp4 30.87Мб
064. Acquire Valued Shoppers Challenge, part 2.srt 21.89Кб
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