Filename | Size |
| 001.Welcome to How to win a data science competition/001. Introduction.mp4 | 9.7 MB |
| 001.Welcome to How to win a data science competition/001. Introduction.srt | 2.7 KB |
| 001.Welcome to How to win a data science competition/002. Meet your lecturers.mp4 | 13.8 MB |
| 001.Welcome to How to win a data science competition/002. Meet your lecturers.srt | 3.6 KB |
| 001.Welcome to How to win a data science competition/003. Course overview.mp4 | 34.6 MB |
| 001.Welcome to How to win a data science competition/003. Course overview.srt | 10.2 KB |
| 002.Competition mechanics/004. Competition Mechanics.mp4 | 24.9 MB |
| 002.Competition mechanics/004. Competition Mechanics.srt | 10.9 KB |
| 002.Competition mechanics/005. Kaggle Overview [screencast].mp4 | 32.4 MB |
| 002.Competition mechanics/005. Kaggle Overview [screencast].srt | 9.2 KB |
| 002.Competition mechanics/006. Real World Application vs Competitions.mp4 | 20 MB |
| 002.Competition mechanics/006. Real World Application vs Competitions.srt | 8.7 KB |
| 003.Recap of main ML algorithms/007. Recap of main ML algorithms.mp4 | 33.4 MB |
| 003.Recap of main ML algorithms/007. Recap of main ML algorithms.srt | 13.6 KB |
| 004.Software Hardware requirements/008. Software Hardware Requirements.mp4 | 21.5 MB |
| 004.Software Hardware requirements/008. Software Hardware Requirements.srt | 7.9 KB |
| 005.Feature preprocessing and generation with respect to models/009. Overview.mp4 | 25.7 MB |
| 005.Feature preprocessing and generation with respect to models/009. Overview.srt | 9 KB |
| 005.Feature preprocessing and generation with respect to models/010. Numeric features.mp4 | 48.3 MB |
| 005.Feature preprocessing and generation with respect to models/010. Numeric features.srt | 18.6 KB |
| 005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.mp4 | 40.5 MB |
| 005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.srt | 13.2 KB |
| 005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.mp4 | 32.4 MB |
| 005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.srt | 10.2 KB |
| 005.Feature preprocessing and generation with respect to models/013. Handling missing values.mp4 | 37.9 MB |
| 005.Feature preprocessing and generation with respect to models/013. Handling missing values.srt | 12.8 KB |
| 006.Feature extraction from text and images/014. Bag of words.mp4 | 38 MB |
| 006.Feature extraction from text and images/014. Bag of words.srt | 13.7 KB |
| 006.Feature extraction from text and images/015. Word2vec, CNN.mp4 | 46 MB |
| 006.Feature extraction from text and images/015. Word2vec, CNN.srt | 16.8 KB |
| 007.Final project/016. Final project overview.mp4 | 17.8 MB |
| 007.Final project/016. Final project overview.srt | 5.4 KB |
| 008.Exploratory data analysis/017. Exploratory data analysis.mp4 | 24 MB |
| 008.Exploratory data analysis/017. Exploratory data analysis.srt | 9.7 KB |
| 008.Exploratory data analysis/018. Building intuition about the data.mp4 | 22.3 MB |
| 008.Exploratory data analysis/018. Building intuition about the data.srt | 9.4 KB |
| 008.Exploratory data analysis/019. Exploring anonymized data.mp4 | 43 MB |
| 008.Exploratory data analysis/019. Exploring anonymized data.srt | 18.2 KB |
| 008.Exploratory data analysis/020. Visualizations.mp4 | 42.6 MB |
| 008.Exploratory data analysis/020. Visualizations.srt | 16.1 KB |
| 008.Exploratory data analysis/021. Dataset cleaning and other things to check.mp4 | 25.8 MB |
| 008.Exploratory data analysis/021. Dataset cleaning and other things to check.srt | 9.6 KB |
| 009.EDA examples/022. Springleaf competition EDA I.mp4 | 20.1 MB |
| 009.EDA examples/022. Springleaf competition EDA I.srt | 9 KB |
| 009.EDA examples/023. Springleaf competition EDA II.mp4 | 44.4 MB |
| 009.EDA examples/023. Springleaf competition EDA II.srt | 19.9 KB |
| 009.EDA examples/024. Numerai competition EDA.mp4 | 22 MB |
| 009.EDA examples/024. Numerai competition EDA.srt | 7.7 KB |
| 010.Validation/025. Validation and overfitting.mp4 | 34.1 MB |
| 010.Validation/025. Validation and overfitting.srt | 13.3 KB |
| 010.Validation/026. Validation strategies.mp4 | 26.1 MB |
| 010.Validation/026. Validation strategies.srt | 9.1 KB |
| 010.Validation/027. Data splitting strategies.mp4 | 56.2 MB |
| 010.Validation/027. Data splitting strategies.srt | 18.7 KB |
| 010.Validation/028. Problems occurring during validation.mp4 | 71 MB |
| 010.Validation/028. Problems occurring during validation.srt | 25.4 KB |
| 011.Data leakages/029. Basic data leaks.mp4 | 22.1 MB |
| 011.Data leakages/029. Basic data leaks.srt | 8.1 KB |
| 011.Data leakages/030. Leaderboard probing and examples of rare data leaks.mp4 | 34.1 MB |
| 011.Data leakages/030. Leaderboard probing and examples of rare data leaks.srt | 12.2 KB |
| 011.Data leakages/031. Expedia challenge.mp4 | 35.7 MB |
| 011.Data leakages/031. Expedia challenge.srt | 11.4 KB |
| 012.Metrics optimization/032. Motivation.mp4 | 27.5 MB |
| 012.Metrics optimization/032. Motivation.srt | 10.6 KB |
| 012.Metrics optimization/033. Regression metrics review I.mp4 | 46.4 MB |
| 012.Metrics optimization/033. Regression metrics review I.srt | 17.5 KB |
| 012.Metrics optimization/034. Regression metrics review II.mp4 | 29.2 MB |
| 012.Metrics optimization/034. Regression metrics review II.srt | 9.5 KB |
| 012.Metrics optimization/035. Classification metrics review.mp4 | 70.3 MB |
| 012.Metrics optimization/035. Classification metrics review.srt | 24.3 KB |
| 012.Metrics optimization/036. General approaches for metrics optimization.mp4 | 23.7 MB |
| 012.Metrics optimization/036. General approaches for metrics optimization.srt | 8 KB |
| 012.Metrics optimization/037. Regression metrics optimization.mp4 | 35.8 MB |
| 012.Metrics optimization/037. Regression metrics optimization.srt | 12.1 KB |
| 012.Metrics optimization/038. Classification metrics optimization I.mp4 | 26.3 MB |
| 012.Metrics optimization/038. Classification metrics optimization I.srt | 8.9 KB |
| 012.Metrics optimization/039. Classification metrics optimization II.mp4 | 25.2 MB |
| 012.Metrics optimization/039. Classification metrics optimization II.srt | 8.7 KB |
| 013.Mean encodings/040. Concept of mean encoding.mp4 | 30.5 MB |
| 013.Mean encodings/040. Concept of mean encoding.srt | 9.9 KB |
| 013.Mean encodings/041. Regularization.mp4 | 28.4 MB |
| 013.Mean encodings/041. Regularization.srt | 9.2 KB |
| 013.Mean encodings/042. Extensions and generalizations.mp4 | 39.2 MB |
| 013.Mean encodings/042. Extensions and generalizations.srt | 12.2 KB |
| 014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4 | 25 MB |
| 014.Hyperparameter tuning/043. Hyperparameter tuning I.srt | 8.8 KB |
| 014.Hyperparameter tuning/044. Hyperparameter tuning II.mp4 | 43.3 MB |
| 014.Hyperparameter tuning/044. Hyperparameter tuning II.srt | 15.1 KB |
| 014.Hyperparameter tuning/045. Hyperparameter tuning III.mp4 | 47.2 MB |
| 014.Hyperparameter tuning/045. Hyperparameter tuning III.srt | 15.2 KB |
| 015.Tips and tricks/046. Practical guide.mp4 | 59.1 MB |
| 015.Tips and tricks/046. Practical guide.srt | 22.2 KB |
| 015.Tips and tricks/047. KazAnova's competition pipeline, part 1.mp4 | 33.8 MB |
| 015.Tips and tricks/047. KazAnova's competition pipeline, part 1.srt | 23.4 KB |
| 015.Tips and tricks/048. KazAnova's competition pipeline, part 2.mp4 | 32 MB |
| 015.Tips and tricks/048. KazAnova's competition pipeline, part 2.srt | 21.6 KB |
| 016.Advanced features II/049. Statistics and distance based features.mp4 | 21 MB |
| 016.Advanced features II/049. Statistics and distance based features.srt | 6.8 KB |
| 016.Advanced features II/050. Matrix factorizations.mp4 | 24.1 MB |