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[Coursezone.net] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
magnet:?xt=urn:btih:c45815dc20aa1d329b65df761df7edf3e911294c&dn=[Coursezone.net] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
磁力链接详情
Hash值:
c45815dc20aa1d329b65df761df7edf3e911294c
点击数:
162
文件大小:
1.98 GB
文件数量:
64
创建日期:
2019-3-16 11:17
最后访问:
2024-6-27 07:29
访问标签:
Coursezone
net
Coursera
-
How
to
Win
a
Data
Science
Competition
Learn
from
Top
Kagglers
文件列表详情
001.Welcome to How to win a data science competition/001. Introduction.mp4 9.72 MB
001.Welcome to How to win a data science competition/002. Meet your lecturers.mp4 13.85 MB
001.Welcome to How to win a data science competition/003. Course overview.mp4 34.63 MB
002.Competition mechanics/004. Competition Mechanics.mp4 24.94 MB
002.Competition mechanics/005. Kaggle Overview [screencast].mp4 32.38 MB
002.Competition mechanics/006. Real World Application vs Competitions.mp4 20 MB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.mp4 33.45 MB
004.Software Hardware requirements/008. Software Hardware Requirements.mp4 21.53 MB
005.Feature preprocessing and generation with respect to models/009. Overview.mp4 25.67 MB
005.Feature preprocessing and generation with respect to models/010. Numeric features.mp4 48.31 MB
005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.mp4 40.55 MB
005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.mp4 32.41 MB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.mp4 37.85 MB
006.Feature extraction from text and images/014. Bag of words.mp4 38.04 MB
006.Feature extraction from text and images/015. Word2vec, CNN.mp4 45.96 MB
007.Final project/016. Final project overview.mp4 17.81 MB
008.Exploratory data analysis/017. Exploratory data analysis.mp4 23.95 MB
008.Exploratory data analysis/018. Building intuition about the data.mp4 22.29 MB
008.Exploratory data analysis/019. Exploring anonymized data.mp4 43.05 MB
008.Exploratory data analysis/020. Visualizations.mp4 42.59 MB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.mp4 25.83 MB
009.EDA examples/022. Springleaf competition EDA I.mp4 20.11 MB
009.EDA examples/023. Springleaf competition EDA II.mp4 44.36 MB
009.EDA examples/024. Numerai competition EDA.mp4 21.95 MB
010.Validation/025. Validation and overfitting.mp4 34.09 MB
010.Validation/026. Validation strategies.mp4 26.15 MB
010.Validation/027. Data splitting strategies.mp4 56.16 MB
010.Validation/028. Problems occurring during validation.mp4 26.53 MB
011.Data leakages/029. Basic data leaks.mp4 22.14 MB
011.Data leakages/030. Leaderboard probing and examples of rare data leaks.mp4 34.07 MB
011.Data leakages/031. Expedia challenge.mp4 35.65 MB
012.Metrics optimization/032. Motivation.mp4 27.49 MB
012.Metrics optimization/033. Regression metrics review I.mp4 46.38 MB
012.Metrics optimization/034. Regression metrics review II.mp4 29.2 MB
012.Metrics optimization/035. Classification metrics review.mp4 70.29 MB
012.Metrics optimization/036. General approaches for metrics optimization.mp4 23.71 MB
012.Metrics optimization/037. Regression metrics optimization.mp4 35.84 MB
012.Metrics optimization/038. Classification metrics optimization I.mp4 26.25 MB
012.Metrics optimization/039. Classification metrics optimization II.mp4 25.24 MB
013.Mean encodings/040. Concept of mean encoding.mp4 30.55 MB
013.Mean encodings/041. Regularization.mp4 28.37 MB
013.Mean encodings/042. Extensions and generalizations.mp4 39.24 MB
014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4 24.96 MB
014.Hyperparameter tuning/044. Hyperparameter tuning II.mp4 43.3 MB
014.Hyperparameter tuning/045. Hyperparameter tuning III.mp4 47.18 MB
015.Tips and tricks/046. Practical guide.mp4 59.12 MB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.mp4 33.81 MB
015.Tips and tricks/048. KazAnova's competition pipeline, part 2.mp4 32 MB
016.Advanced features II/049. Statistics and distance based features.mp4 20.96 MB
016.Advanced features II/050. Matrix factorizations.mp4 24.14 MB
016.Advanced features II/051. Feature Interactions.mp4 20.41 MB
016.Advanced features II/052. t-SNE.mp4 21.56 MB
017.Ensembling/053. Introduction into ensemble methods.mp4 10.68 MB
017.Ensembling/054. Bagging.mp4 15.93 MB
017.Ensembling/055. Boosting.mp4 27.94 MB
017.Ensembling/056. Stacking.mp4 30.78 MB
017.Ensembling/057. StackNet.mp4 29.25 MB
017.Ensembling/058. Ensembling Tips and Tricks.mp4 25.59 MB
018.Competitions go through/059. Crowdflower Competition.mp4 36.12 MB
018.Competitions go through/060. Springleaf Marketing Response.mp4 24.24 MB
018.Competitions go through/061. Microsoft Malware Classification Challenge.mp4 68.35 MB
018.Competitions go through/062. Walmart Trip Type Classification.mp4 29.55 MB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.mp4 34.77 MB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.mp4 30.87 MB
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