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FreeCoursesOnline Me Coursera How to Win Data Science Competition Learn from Top Kagglers

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[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers

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Total Size

2.2 GB

Total Files

131

Last Seen

2024-11-04 23:37

Hash

73A9DEAB2362BD262A94BF98E24A3DDFF2547BCB

/001.Welcome to How to win a data science competition/

001. Introduction.mp4

10.2 MB

001. Introduction.srt

2.8 KB

002. Meet your lecturers.mp4

14.5 MB

002. Meet your lecturers.srt

3.6 KB

003. Course overview.mp4

36.3 MB

003. Course overview.srt

10.4 KB

/002.Competition mechanics/

004. Competition Mechanics.mp4

26.1 MB

004. Competition Mechanics.srt

11.2 KB

005. Kaggle Overview [screencast].mp4

33.9 MB

005. Kaggle Overview [screencast].srt

9.4 KB

006. Real World Application vs Competitions.mp4

21.0 MB

006. Real World Application vs Competitions.srt

8.9 KB

/003.Recap of main ML algorithms/

007. Recap of main ML algorithms.mp4

35.1 MB

007. Recap of main ML algorithms.srt

13.9 KB

/004.Software Hardware requirements/

008. Software Hardware Requirements.mp4

22.6 MB

008. Software Hardware Requirements.srt

8.1 KB

/005.Feature preprocessing and generation with respect to models/

009. Overview.mp4

26.9 MB

009. Overview.srt

9.2 KB

010. Numeric features.mp4

50.7 MB

010. Numeric features.srt

19.0 KB

011. Categorical and ordinal features.mp4

42.5 MB

011. Categorical and ordinal features.srt

13.5 KB

012. Datetime and coordinates.mp4

34.0 MB

012. Datetime and coordinates.srt

10.5 KB

013. Handling missing values.mp4

39.7 MB

013. Handling missing values.srt

13.1 KB

/006.Feature extraction from text and images/

014. Bag of words.mp4

39.9 MB

014. Bag of words.srt

14.0 KB

015. Word2vec, CNN.mp4

48.2 MB

015. Word2vec, CNN.srt

17.2 KB

/007.Final project/

016. Final project overview.mp4

18.7 MB

016. Final project overview.srt

5.6 KB

/008.Exploratory data analysis/

017. Exploratory data analysis.mp4

25.1 MB

017. Exploratory data analysis.srt

9.9 KB

018. Building intuition about the data.mp4

23.4 MB

018. Building intuition about the data.srt

9.7 KB

019. Exploring anonymized data.mp4

45.1 MB

019. Exploring anonymized data.srt

18.6 KB

020. Visualizations.mp4

44.7 MB

020. Visualizations.srt

16.5 KB

021. Dataset cleaning and other things to check.mp4

27.1 MB

021. Dataset cleaning and other things to check.srt

9.8 KB

/009.EDA examples/

022. Springleaf competition EDA I.mp4

21.1 MB

022. Springleaf competition EDA I.srt

9.2 KB

023. Springleaf competition EDA II.mp4

46.5 MB

023. Springleaf competition EDA II.srt

20.3 KB

024. Numerai competition EDA.mp4

23.0 MB

024. Numerai competition EDA.srt

7.9 KB

/010.Validation/

025. Validation and overfitting.mp4

35.7 MB

025. Validation and overfitting.srt

13.6 KB

026. Validation strategies.mp4

27.4 MB

026. Validation strategies.srt

9.3 KB

027. Data splitting strategies.mp4

58.9 MB

027. Data splitting strategies.srt

19.1 KB

028. Problems occurring during validation.mp4

74.5 MB

028. Problems occurring during validation.srt

26.0 KB

/011.Data leakages/

029. Basic data leaks.mp4

23.2 MB

029. Basic data leaks.srt

8.3 KB

030. Leaderboard probing and examples of rare data leaks.mp4

35.7 MB

030. Leaderboard probing and examples of rare data leaks.srt

12.5 KB

031. Expedia challenge.mp4

37.4 MB

031. Expedia challenge.srt

11.7 KB

/012.Metrics optimization/

032. Motivation.mp4

28.8 MB

032. Motivation.srt

10.8 KB

033. Regression metrics review I.mp4

48.6 MB

033. Regression metrics review I.srt

17.9 KB

034. Regression metrics review II.mp4

30.6 MB

034. Regression metrics review II.srt

9.8 KB

035. Classification metrics review.mp4

73.7 MB

035. Classification metrics review.srt

24.8 KB

036. General approaches for metrics optimization.mp4

24.9 MB

036. General approaches for metrics optimization.srt

8.2 KB

037. Regression metrics optimization.mp4

37.6 MB

037. Regression metrics optimization.srt

12.4 KB

038. Classification metrics optimization I.mp4

27.5 MB

038. Classification metrics optimization I.srt

9.2 KB

039. Classification metrics optimization II.mp4

26.5 MB

039. Classification metrics optimization II.srt

8.9 KB

/013.Mean encodings/

040. Concept of mean encoding.mp4

32.0 MB

040. Concept of mean encoding.srt

10.1 KB

041. Regularization.mp4

29.7 MB

041. Regularization.srt

9.4 KB

042. Extensions and generalizations.mp4

41.1 MB

042. Extensions and generalizations.srt

12.5 KB

/014.Hyperparameter tuning/

043. Hyperparameter tuning I.mp4

26.2 MB

043. Hyperparameter tuning I.srt

9.1 KB

044. Hyperparameter tuning II.mp4

45.4 MB

044. Hyperparameter tuning II.srt

15.5 KB

045. Hyperparameter tuning III.mp4

49.5 MB

045. Hyperparameter tuning III.srt

15.5 KB

/015.Tips and tricks/

046. Practical guide.mp4

62.0 MB

046. Practical guide.srt

22.7 KB

047. KazAnova's competition pipeline, part 1.mp4

35.5 MB

047. KazAnova's competition pipeline, part 1.srt

24.0 KB

048. KazAnova's competition pipeline, part 2.mp4

33.6 MB

048. KazAnova's competition pipeline, part 2.srt

22.1 KB

/016.Advanced features II/

049. Statistics and distance based features.mp4

22.0 MB

049. Statistics and distance based features.srt

7.0 KB

050. Matrix factorizations.mp4

25.3 MB

050. Matrix factorizations.srt

9.2 KB

051. Feature Interactions.mp4

21.4 MB

051. Feature Interactions.srt

8.0 KB

052. t-SNE.mp4

22.6 MB

052. t-SNE.srt

7.7 KB

/017.Ensembling/

053. Introduction into ensemble methods.mp4

11.2 MB

053. Introduction into ensemble methods.srt

7.2 KB

054. Bagging.mp4

16.7 MB

054. Bagging.srt

11.3 KB

055. Boosting.mp4

29.3 MB

055. Boosting.srt

19.6 KB

056. Stacking.mp4

32.3 MB

056. Stacking.srt

19.4 KB

057. StackNet.mp4

30.7 MB

057. StackNet.srt

18.5 KB

058. Ensembling Tips and Tricks.mp4

26.8 MB

058. Ensembling Tips and Tricks.srt

18.4 KB

/018.Competitions go through/

059. Crowdflower Competition.mp4

37.9 MB

059. Crowdflower Competition.srt

15.8 KB

060. Springleaf Marketing Response.mp4

25.4 MB

060. Springleaf Marketing Response.srt

8.1 KB

061. Microsoft Malware Classification Challenge.mp4

71.7 MB

061. Microsoft Malware Classification Challenge.srt

23.5 KB

062. Walmart Trip Type Classification.mp4

31.0 MB

062. Walmart Trip Type Classification.srt

10.2 KB

063. Acquire Valued Shoppers Challenge, part 1.mp4

36.5 MB

063. Acquire Valued Shoppers Challenge, part 1.srt

25.7 KB

064. Acquire Valued Shoppers Challenge, part 2.mp4

32.4 MB

064. Acquire Valued Shoppers Challenge, part 2.srt

22.4 KB

/

[FreeCoursesOnline.Me].url

0.1 KB

[FreeTutorials.Us].url

0.1 KB

[FTU Forum].url

0.3 KB

 

Total files 131


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