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[FreeCoursesOnline.Me].url |
133б |
[FreeTutorials.Us].url |
119б |
[FTU Forum].url |
252б |
001. Introduction.mp4 |
9.72Мб |
001. Introduction.srt |
2.72Кб |
002. Meet your lecturers.mp4 |
13.85Мб |
002. Meet your lecturers.srt |
3.56Кб |
003. Course overview.mp4 |
34.63Мб |
003. Course overview.srt |
10.19Кб |
004. Competition Mechanics.mp4 |
24.94Мб |
004. Competition Mechanics.srt |
10.94Кб |
005. Kaggle Overview [screencast].mp4 |
32.38Мб |
005. Kaggle Overview [screencast].srt |
9.17Кб |
006. Real World Application vs Competitions.mp4 |
20.00Мб |
006. Real World Application vs Competitions.srt |
8.69Кб |
007. Recap of main ML algorithms.mp4 |
33.45Мб |
007. Recap of main ML algorithms.srt |
13.59Кб |
008. Software Hardware Requirements.mp4 |
21.53Мб |
008. Software Hardware Requirements.srt |
7.92Кб |
009. Overview.mp4 |
25.67Мб |
009. Overview.srt |
8.95Кб |
010. Numeric features.mp4 |
48.31Мб |
010. Numeric features.srt |
18.56Кб |
011. Categorical and ordinal features.mp4 |
40.55Мб |
011. Categorical and ordinal features.srt |
13.23Кб |
012. Datetime and coordinates.mp4 |
32.41Мб |
012. Datetime and coordinates.srt |
10.22Кб |
013. Handling missing values.mp4 |
37.85Мб |
013. Handling missing values.srt |
12.77Кб |
014. Bag of words.mp4 |
38.04Мб |
014. Bag of words.srt |
13.66Кб |
015. Word2vec, CNN.mp4 |
45.96Мб |
015. Word2vec, CNN.srt |
16.84Кб |
016. Final project overview.mp4 |
17.81Мб |
016. Final project overview.srt |
5.43Кб |
017. Exploratory data analysis.mp4 |
23.95Мб |
017. Exploratory data analysis.srt |
9.69Кб |
018. Building intuition about the data.mp4 |
22.29Мб |
018. Building intuition about the data.srt |
9.43Кб |
019. Exploring anonymized data.mp4 |
43.05Мб |
019. Exploring anonymized data.srt |
18.21Кб |
020. Visualizations.mp4 |
42.59Мб |
020. Visualizations.srt |
16.13Кб |
021. Dataset cleaning and other things to check.mp4 |
25.83Мб |
021. Dataset cleaning and other things to check.srt |
9.57Кб |
022. Springleaf competition EDA I.mp4 |
20.11Мб |
022. Springleaf competition EDA I.srt |
8.96Кб |
023. Springleaf competition EDA II.mp4 |
44.36Мб |
023. Springleaf competition EDA II.srt |
19.87Кб |
024. Numerai competition EDA.mp4 |
21.95Мб |
024. Numerai competition EDA.srt |
7.72Кб |
025. Validation and overfitting.mp4 |
34.09Мб |
025. Validation and overfitting.srt |
13.29Кб |
026. Validation strategies.mp4 |
26.15Мб |
026. Validation strategies.srt |
9.08Кб |
027. Data splitting strategies.mp4 |
56.16Мб |
027. Data splitting strategies.srt |
18.69Кб |
028. Problems occurring during validation.mp4 |
71.05Мб |
028. Problems occurring during validation.srt |
25.44Кб |
029. Basic data leaks.mp4 |
22.14Мб |
029. Basic data leaks.srt |
8.10Кб |
030. Leaderboard probing and examples of rare data leaks.mp4 |
34.07Мб |
030. Leaderboard probing and examples of rare data leaks.srt |
12.22Кб |
031. Expedia challenge.mp4 |
35.65Мб |
031. Expedia challenge.srt |
11.39Кб |
032. Motivation.mp4 |
27.49Мб |
032. Motivation.srt |
10.58Кб |
033. Regression metrics review I.mp4 |
46.38Мб |
033. Regression metrics review I.srt |
17.48Кб |
034. Regression metrics review II.mp4 |
29.20Мб |
034. Regression metrics review II.srt |
9.53Кб |
035. Classification metrics review.mp4 |
70.29Мб |
035. Classification metrics review.srt |
24.27Кб |
036. General approaches for metrics optimization.mp4 |
23.71Мб |
036. General approaches for metrics optimization.srt |
8.01Кб |
037. Regression metrics optimization.mp4 |
35.84Мб |
037. Regression metrics optimization.srt |
12.08Кб |
038. Classification metrics optimization I.mp4 |
26.25Мб |
038. Classification metrics optimization I.srt |
8.95Кб |
039. Classification metrics optimization II.mp4 |
25.24Мб |
039. Classification metrics optimization II.srt |
8.71Кб |
040. Concept of mean encoding.mp4 |
30.55Мб |
040. Concept of mean encoding.srt |
9.90Кб |
041. Regularization.mp4 |
28.37Мб |
041. Regularization.srt |
9.16Кб |
042. Extensions and generalizations.mp4 |
39.24Мб |
042. Extensions and generalizations.srt |
12.21Кб |
043. Hyperparameter tuning I.mp4 |
24.96Мб |
043. Hyperparameter tuning I.srt |
8.84Кб |
044. Hyperparameter tuning II.mp4 |
43.30Мб |
044. Hyperparameter tuning II.srt |
15.13Кб |
045. Hyperparameter tuning III.mp4 |
47.18Мб |
045. Hyperparameter tuning III.srt |
15.17Кб |
046. Practical guide.mp4 |
59.12Мб |
046. Practical guide.srt |
22.21Кб |
047. KazAnova's competition pipeline, part 1.mp4 |
33.81Мб |
047. KazAnova's competition pipeline, part 1.srt |
23.44Кб |
048. KazAnova's competition pipeline, part 2.mp4 |
32.00Мб |
048. KazAnova's competition pipeline, part 2.srt |
21.55Кб |
049. Statistics and distance based features.mp4 |
20.96Мб |
049. Statistics and distance based features.srt |
6.82Кб |
050. Matrix factorizations.mp4 |
24.14Мб |
050. Matrix factorizations.srt |
9.02Кб |
051. Feature Interactions.mp4 |
20.41Мб |
051. Feature Interactions.srt |
7.77Кб |
052. t-SNE.mp4 |
21.56Мб |
052. t-SNE.srt |
7.47Кб |
053. Introduction into ensemble methods.mp4 |
10.68Мб |
053. Introduction into ensemble methods.srt |
7.01Кб |
054. Bagging.mp4 |
15.93Мб |
054. Bagging.srt |
11.00Кб |
055. Boosting.mp4 |
27.94Мб |
055. Boosting.srt |
19.17Кб |
056. Stacking.mp4 |
30.78Мб |
056. Stacking.srt |
18.99Кб |
057. StackNet.mp4 |
29.25Мб |
057. StackNet.srt |
18.07Кб |
058. Ensembling Tips and Tricks.mp4 |
25.59Мб |
058. Ensembling Tips and Tricks.srt |
17.97Кб |
059. Crowdflower Competition.mp4 |
36.12Мб |
059. Crowdflower Competition.srt |
15.47Кб |
060. Springleaf Marketing Response.mp4 |
24.24Мб |
060. Springleaf Marketing Response.srt |
7.90Кб |
061. Microsoft Malware Classification Challenge.mp4 |
68.35Мб |
061. Microsoft Malware Classification Challenge.srt |
22.98Кб |
062. Walmart Trip Type Classification.mp4 |
29.55Мб |
062. Walmart Trip Type Classification.srt |
9.98Кб |
063. Acquire Valued Shoppers Challenge, part 1.mp4 |
34.77Мб |
063. Acquire Valued Shoppers Challenge, part 1.srt |
25.14Кб |
064. Acquire Valued Shoppers Challenge, part 2.mp4 |
30.87Мб |
064. Acquire Valued Shoppers Challenge, part 2.srt |
21.89Кб |