▲
0
0

report

[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers

seeders: 0
leechers: 0
Download torrent
Added 7 years ago by CourseClub in Other
Download Fast Safe Anonymous
movies, software, shows...

Files

[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers (Size: 2 GB)
  001. Introduction.mp4 9.7 MB
  001. Introduction.srt 2.7 KB
  002. Meet your lecturers.mp4 13.8 MB
  002. Meet your lecturers.srt 3.6 KB
  003. Course overview.mp4 34.6 MB
  003. Course overview.srt 10.2 KB
  004. Competition Mechanics.mp4 24.9 MB
  004. Competition Mechanics.srt 10.9 KB
  005. Kaggle Overview [screencast].mp4 32.4 MB
  005. Kaggle Overview [screencast].srt 9.2 KB
  006. Real World Application vs Competitions.mp4 20 MB
  006. Real World Application vs Competitions.srt 8.7 KB
  007. Recap of main ML algorithms.mp4 33.4 MB
  007. Recap of main ML algorithms.srt 13.6 KB
  008. Software Hardware Requirements.mp4 21.5 MB
  008. Software Hardware Requirements.srt 7.9 KB
  009. Overview.mp4 25.7 MB
  009. Overview.srt 9 KB
  010. Numeric features.mp4 48.3 MB
  010. Numeric features.srt 18.6 KB
  011. Categorical and ordinal features.mp4 40.5 MB
  011. Categorical and ordinal features.srt 13.2 KB
  012. Datetime and coordinates.mp4 32.4 MB
  012. Datetime and coordinates.srt 10.2 KB
  013. Handling missing values.mp4 37.9 MB
  013. Handling missing values.srt 12.8 KB
  014. Bag of words.mp4 38 MB
  014. Bag of words.srt 13.7 KB
  015. Word2vec, CNN.mp4 46 MB
  015. Word2vec, CNN.srt 16.8 KB
  016. Final project overview.mp4 17.8 MB
  016. Final project overview.srt 5.4 KB
  017. Exploratory data analysis.mp4 24 MB
  017. Exploratory data analysis.srt 9.7 KB
  018. Building intuition about the data.mp4 22.3 MB
  018. Building intuition about the data.srt 9.4 KB
  019. Exploring anonymized data.mp4 43 MB
  019. Exploring anonymized data.srt 18.2 KB
  020. Visualizations.mp4 42.6 MB
  020. Visualizations.srt 16.1 KB
  021. Dataset cleaning and other things to check.mp4 25.8 MB
  021. Dataset cleaning and other things to check.srt 9.6 KB
  022. Springleaf competition EDA I.mp4 20.1 MB
  022. Springleaf competition EDA I.srt 9 KB
  023. Springleaf competition EDA II.mp4 44.4 MB
  023. Springleaf competition EDA II.srt 19.9 KB
  024. Numerai competition EDA.mp4 22 MB
  024. Numerai competition EDA.srt 7.7 KB
  025. Validation and overfitting.mp4 34.1 MB
  025. Validation and overfitting.srt 13.3 KB
  026. Validation strategies.mp4 26.1 MB
  026. Validation strategies.srt 9.1 KB
  027. Data splitting strategies.mp4 56.2 MB
  027. Data splitting strategies.srt 18.7 KB
  028. Problems occurring during validation.mp4 71 MB
  028. Problems occurring during validation.srt 25.4 KB
  029. Basic data leaks.mp4 22.1 MB
  029. Basic data leaks.srt 8.1 KB
  030. Leaderboard probing and examples of rare data leaks.mp4 34.1 MB
  030. Leaderboard probing and examples of rare data leaks.srt 12.2 KB
  031. Expedia challenge.mp4 35.7 MB
  031. Expedia challenge.srt 11.4 KB
  032. Motivation.mp4 27.5 MB
  032. Motivation.srt 10.6 KB
  033. Regression metrics review I.mp4 46.4 MB
  033. Regression metrics review I.srt 17.5 KB
  034. Regression metrics review II.mp4 29.2 MB
  034. Regression metrics review II.srt 9.5 KB
  035. Classification metrics review.mp4 70.3 MB
  035. Classification metrics review.srt 24.3 KB
  036. General approaches for metrics optimization.mp4 23.7 MB
  036. General approaches for metrics optimization.srt 8 KB
  037. Regression metrics optimization.mp4 35.8 MB
  037. Regression metrics optimization.srt 12.1 KB
  038. Classification metrics optimization I.mp4 26.3 MB
  038. Classification metrics optimization I.srt 8.9 KB
  039. Classification metrics optimization II.mp4 25.2 MB
  039. Classification metrics optimization II.srt 8.7 KB
  040. Concept of mean encoding.mp4 30.5 MB
  040. Concept of mean encoding.srt 9.9 KB
  041. Regularization.mp4 28.4 MB
  041. Regularization.srt 9.2 KB
  042. Extensions and generalizations.mp4 39.2 MB
  042. Extensions and generalizations.srt 12.2 KB
  043. Hyperparameter tuning I.mp4 25 MB
  043. Hyperparameter tuning I.srt 8.8 KB
  044. Hyperparameter tuning II.mp4 43.3 MB
  044. Hyperparameter tuning II.srt 15.1 KB
  045. Hyperparameter tuning III.mp4 47.2 MB
  045. Hyperparameter tuning III.srt 15.2 KB
  046. Practical guide.mp4 59.1 MB
  046. Practical guide.srt 22.2 KB
  047. KazAnova's competition pipeline, part 1.mp4 33.8 MB
  047. KazAnova's competition pipeline, part 1.srt 23.4 KB
  048. KazAnova's competition pipeline, part 2.mp4 32 MB
  048. KazAnova's competition pipeline, part 2.srt 21.6 KB
  049. Statistics and distance based features.mp4 21 MB
  049. Statistics and distance based features.srt 6.8 KB
  050. Matrix factorizations.mp4 24.1 MB
  050. Matrix factorizations.srt 9 KB
  051. Feature Interactions.mp4 20.4 MB
  051. Feature Interactions.srt 7.8 KB
  052. t-SNE.mp4 21.6 MB
  052. t-SNE.srt 7.5 KB
  053. Introduction into ensemble methods.mp4 10.7 MB
  053. Introduction into ensemble methods.srt 7 KB
  054. Bagging.mp4 15.9 MB
  054. Bagging.srt 11 KB
  055. Boosting.mp4 27.9 MB
  055. Boosting.srt 19.2 KB
  056. Stacking.mp4 30.8 MB
  056. Stacking.srt 19 KB
  057. StackNet.mp4 29.2 MB
  057. StackNet.srt 18.1 KB
  058. Ensembling Tips and Tricks.mp4 25.6 MB
  058. Ensembling Tips and Tricks.srt 18 KB
  059. Crowdflower Competition.mp4 36.1 MB
  059. Crowdflower Competition.srt 15.5 KB
  060. Springleaf Marketing Response.mp4 24.2 MB
  060. Springleaf Marketing Response.srt 7.9 KB
  061. Microsoft Malware Classification Challenge.mp4 68.4 MB
  061. Microsoft Malware Classification Challenge.srt 23 KB
  062. Walmart Trip Type Classification.mp4 29.5 MB
  062. Walmart Trip Type Classification.srt 10 KB
  063. Acquire Valued Shoppers Challenge, part 1.mp4 34.8 MB
  063. Acquire Valued Shoppers Challenge, part 1.srt 25.1 KB
  064. Acquire Valued Shoppers Challenge, part 2.mp4 30.9 MB
  064. Acquire Valued Shoppers Challenge, part 2.srt 21.9 KB
  [CourseClub.NET].url 102.4 B
  [FCS Forum].url 102.4 B
  [FreeCourseSite.com].url 102.4 B
  ▲ 131 total files

Description


[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers

If you want to break into competitive data science, then this course is for you!

For More Courses: https://courseclub.net

Related Torrents

torrent name size uploader age seed leech
(reUpload) Coursera - Virology II How Viruses Cause Disease Posted by GigaWail in Other
2 GB GigaWail 6 years 3 6
(reUpload) Coursera - Virology I How Viruses Work Posted by GigaWail in Other
3.7 GB GigaWail 6 years 3 4
[Coursera] How to Make a Comic Book (Project-Centered Course) Posted by CourseClub in Other
462.4 MB CourseClub 7 years 0 0
[Coursera] How to Win a Data Science Competition: Learn from Top Kagglers Posted by coursezone in Other
2 GB coursezone 7 years 0 1
[Coursera] How to Make a Comic Book (Project-Centered Course) Posted by coursezone in Other
462.4 MB coursezone 7 years 0 0