Torrent Info
Title [CourseClub.NET] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
Category
Size 2.03GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[CourseClub.NET].url 123B
[FCS Forum].url 133B
[FreeCourseSite.com].url 127B
001. Introduction.mp4 9.72MB
001. Introduction.srt 2.72KB
002. Meet your lecturers.mp4 13.85MB
002. Meet your lecturers.srt 3.56KB
003. Course overview.mp4 34.63MB
003. Course overview.srt 10.19KB
004. Competition Mechanics.mp4 24.94MB
004. Competition Mechanics.srt 10.94KB
005. Kaggle Overview [screencast].mp4 32.38MB
005. Kaggle Overview [screencast].srt 9.17KB
006. Real World Application vs Competitions.mp4 20.00MB
006. Real World Application vs Competitions.srt 8.69KB
007. Recap of main ML algorithms.mp4 33.45MB
007. Recap of main ML algorithms.srt 13.59KB
008. Software Hardware Requirements.mp4 21.53MB
008. Software Hardware Requirements.srt 7.92KB
009. Overview.mp4 25.67MB
009. Overview.srt 8.95KB
010. Numeric features.mp4 48.31MB
010. Numeric features.srt 18.56KB
011. Categorical and ordinal features.mp4 40.55MB
011. Categorical and ordinal features.srt 13.23KB
012. Datetime and coordinates.mp4 32.41MB
012. Datetime and coordinates.srt 10.22KB
013. Handling missing values.mp4 37.85MB
013. Handling missing values.srt 12.77KB
014. Bag of words.mp4 38.04MB
014. Bag of words.srt 13.66KB
015. Word2vec, CNN.mp4 45.96MB
015. Word2vec, CNN.srt 16.84KB
016. Final project overview.mp4 17.81MB
016. Final project overview.srt 5.43KB
017. Exploratory data analysis.mp4 23.95MB
017. Exploratory data analysis.srt 9.69KB
018. Building intuition about the data.mp4 22.29MB
018. Building intuition about the data.srt 9.43KB
019. Exploring anonymized data.mp4 43.05MB
019. Exploring anonymized data.srt 18.21KB
020. Visualizations.mp4 42.59MB
020. Visualizations.srt 16.13KB
021. Dataset cleaning and other things to check.mp4 25.83MB
021. Dataset cleaning and other things to check.srt 9.57KB
022. Springleaf competition EDA I.mp4 20.11MB
022. Springleaf competition EDA I.srt 8.96KB
023. Springleaf competition EDA II.mp4 44.36MB
023. Springleaf competition EDA II.srt 19.87KB
024. Numerai competition EDA.mp4 21.95MB
024. Numerai competition EDA.srt 7.72KB
025. Validation and overfitting.mp4 34.09MB
025. Validation and overfitting.srt 13.29KB
026. Validation strategies.mp4 26.15MB
026. Validation strategies.srt 9.08KB
027. Data splitting strategies.mp4 56.16MB
027. Data splitting strategies.srt 18.69KB
028. Problems occurring during validation.mp4 71.05MB
028. Problems occurring during validation.srt 25.44KB
029. Basic data leaks.mp4 22.14MB
029. Basic data leaks.srt 8.10KB
030. Leaderboard probing and examples of rare data leaks.mp4 34.07MB
030. Leaderboard probing and examples of rare data leaks.srt 12.22KB
031. Expedia challenge.mp4 35.65MB
031. Expedia challenge.srt 11.39KB
032. Motivation.mp4 27.49MB
032. Motivation.srt 10.58KB
033. Regression metrics review I.mp4 46.38MB
033. Regression metrics review I.srt 17.48KB
034. Regression metrics review II.mp4 29.20MB
034. Regression metrics review II.srt 9.53KB
035. Classification metrics review.mp4 70.29MB
035. Classification metrics review.srt 24.27KB
036. General approaches for metrics optimization.mp4 23.71MB
036. General approaches for metrics optimization.srt 8.01KB
037. Regression metrics optimization.mp4 35.84MB
037. Regression metrics optimization.srt 12.08KB
038. Classification metrics optimization I.mp4 26.25MB
038. Classification metrics optimization I.srt 8.95KB
039. Classification metrics optimization II.mp4 25.24MB
039. Classification metrics optimization II.srt 8.71KB
040. Concept of mean encoding.mp4 30.55MB
040. Concept of mean encoding.srt 9.90KB
041. Regularization.mp4 28.37MB
041. Regularization.srt 9.16KB
042. Extensions and generalizations.mp4 39.24MB
042. Extensions and generalizations.srt 12.21KB
043. Hyperparameter tuning I.mp4 24.96MB
043. Hyperparameter tuning I.srt 8.84KB
044. Hyperparameter tuning II.mp4 43.30MB
044. Hyperparameter tuning II.srt 15.13KB
045. Hyperparameter tuning III.mp4 47.18MB
045. Hyperparameter tuning III.srt 15.17KB
046. Practical guide.mp4 59.12MB
046. Practical guide.srt 22.21KB
047. KazAnova's competition pipeline, part 1.mp4 33.81MB
047. KazAnova's competition pipeline, part 1.srt 23.44KB
048. KazAnova's competition pipeline, part 2.mp4 32.00MB
048. KazAnova's competition pipeline, part 2.srt 21.55KB
049. Statistics and distance based features.mp4 20.96MB
049. Statistics and distance based features.srt 6.82KB
050. Matrix factorizations.mp4 24.14MB
050. Matrix factorizations.srt 9.02KB
051. Feature Interactions.mp4 20.41MB
051. Feature Interactions.srt 7.77KB
052. t-SNE.mp4 21.56MB
052. t-SNE.srt 7.47KB
053. Introduction into ensemble methods.mp4 10.68MB
053. Introduction into ensemble methods.srt 7.01KB
054. Bagging.mp4 15.93MB
054. Bagging.srt 11.00KB
055. Boosting.mp4 27.94MB
055. Boosting.srt 19.17KB
056. Stacking.mp4 30.78MB
056. Stacking.srt 18.99KB
057. StackNet.mp4 29.25MB
057. StackNet.srt 18.07KB
058. Ensembling Tips and Tricks.mp4 25.59MB
058. Ensembling Tips and Tricks.srt 17.97KB
059. Crowdflower Competition.mp4 36.12MB
059. Crowdflower Competition.srt 15.47KB
060. Springleaf Marketing Response.mp4 24.24MB
060. Springleaf Marketing Response.srt 7.90KB
061. Microsoft Malware Classification Challenge.mp4 68.35MB
061. Microsoft Malware Classification Challenge.srt 22.98KB
062. Walmart Trip Type Classification.mp4 29.55MB
062. Walmart Trip Type Classification.srt 9.98KB
063. Acquire Valued Shoppers Challenge, part 1.mp4 34.77MB
063. Acquire Valued Shoppers Challenge, part 1.srt 25.14KB
064. Acquire Valued Shoppers Challenge, part 2.mp4 30.87MB
064. Acquire Valued Shoppers Challenge, part 2.srt 21.89KB
Distribution statistics by country
Russia (RU) 3
Spain (ES) 1
United Kingdom (GB) 1
India (IN) 1
Philippines (PH) 1
Total 7
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