[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
大小
1.98 GB
文件数
131
Info Hash:
6D41914C73AA9125507DB10541D8C0680AAA1A73
收录时间
2026-01-14 22:59:59
更新时间
2026-01-14 22:59:59
文件列表 (131)
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/001. Introduction.srt
2.72 KB
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/002. Meet your lecturers.srt
3.56 KB
001.Welcome to How to win a data science competition/003. Course overview.mp4
34.63 MB
001.Welcome to How to win a data science competition/003. Course overview.srt
10.19 KB
002.Competition mechanics/004. Competition Mechanics.mp4
24.94 MB
002.Competition mechanics/004. Competition Mechanics.srt
10.94 KB
002.Competition mechanics/005. Kaggle Overview [screencast].mp4
32.38 MB
002.Competition mechanics/005. Kaggle Overview [screencast].srt
9.17 KB
002.Competition mechanics/006. Real World Application vs Competitions.mp4
20 MB
002.Competition mechanics/006. Real World Application vs Competitions.srt
8.69 KB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.mp4
33.45 MB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.srt
13.59 KB
004.Software Hardware requirements/008. Software Hardware Requirements.mp4
21.53 MB
004.Software Hardware requirements/008. Software Hardware Requirements.srt
7.92 KB
005.Feature preprocessing and generation with respect to models/009. Overview.mp4
25.67 MB
005.Feature preprocessing and generation with respect to models/009. Overview.srt
8.95 KB
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/010. Numeric features.srt
18.56 KB
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/011. Categorical and ordinal features.srt
13.23 KB
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/012. Datetime and coordinates.srt
10.22 KB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.mp4
37.85 MB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.srt
12.77 KB
006.Feature extraction from text and images/014. Bag of words.mp4
38.04 MB
006.Feature extraction from text and images/014. Bag of words.srt
13.66 KB
006.Feature extraction from text and images/015. Word2vec, CNN.mp4
45.96 MB
006.Feature extraction from text and images/015. Word2vec, CNN.srt
16.84 KB
007.Final project/016. Final project overview.mp4
17.81 MB
007.Final project/016. Final project overview.srt
5.43 KB
008.Exploratory data analysis/017. Exploratory data analysis.mp4
23.95 MB
008.Exploratory data analysis/017. Exploratory data analysis.srt
9.69 KB
008.Exploratory data analysis/018. Building intuition about the data.mp4
22.29 MB
008.Exploratory data analysis/018. Building intuition about the data.srt
9.43 KB
008.Exploratory data analysis/019. Exploring anonymized data.mp4
43.05 MB
008.Exploratory data analysis/019. Exploring anonymized data.srt
18.21 KB
008.Exploratory data analysis/020. Visualizations.mp4
42.59 MB
008.Exploratory data analysis/020. Visualizations.srt
16.13 KB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.mp4
25.83 MB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.srt
9.57 KB
009.EDA examples/022. Springleaf competition EDA I.mp4
20.11 MB
009.EDA examples/022. Springleaf competition EDA I.srt
8.96 KB
009.EDA examples/023. Springleaf competition EDA II.mp4
44.36 MB
009.EDA examples/023. Springleaf competition EDA II.srt
19.87 KB
009.EDA examples/024. Numerai competition EDA.mp4
21.95 MB
009.EDA examples/024. Numerai competition EDA.srt
7.72 KB
010.Validation/025. Validation and overfitting.mp4
34.09 MB
010.Validation/025. Validation and overfitting.srt
13.29 KB
010.Validation/026. Validation strategies.mp4
26.15 MB
010.Validation/026. Validation strategies.srt
9.08 KB
010.Validation/027. Data splitting strategies.mp4
56.16 MB
010.Validation/027. Data splitting strategies.srt
18.69 KB
010.Validation/028. Problems occurring during validation.mp4
26.53 MB
010.Validation/028. Problems occurring during validation.srt
25.44 KB
011.Data leakages/029. Basic data leaks.mp4
22.14 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
34.07 MB
011.Data leakages/030. Leaderboard probing and examples of rare data leaks.srt
12.22 KB
011.Data leakages/031. Expedia challenge.mp4
35.65 MB
011.Data leakages/031. Expedia challenge.srt
11.39 KB
012.Metrics optimization/032. Motivation.mp4
27.49 MB
012.Metrics optimization/032. Motivation.srt
10.58 KB
012.Metrics optimization/033. Regression metrics review I.mp4
46.38 MB
012.Metrics optimization/033. Regression metrics review I.srt
17.48 KB
012.Metrics optimization/034. Regression metrics review II.mp4
29.2 MB
012.Metrics optimization/034. Regression metrics review II.srt
9.53 KB
012.Metrics optimization/035. Classification metrics review.mp4
70.29 MB
012.Metrics optimization/035. Classification metrics review.srt
24.27 KB
012.Metrics optimization/036. General approaches for metrics optimization.mp4
23.71 MB
012.Metrics optimization/036. General approaches for metrics optimization.srt
8.01 KB
012.Metrics optimization/037. Regression metrics optimization.mp4
35.84 MB
012.Metrics optimization/037. Regression metrics optimization.srt
12.08 KB
012.Metrics optimization/038. Classification metrics optimization I.mp4
26.25 MB
012.Metrics optimization/038. Classification metrics optimization I.srt
8.95 KB
012.Metrics optimization/039. Classification metrics optimization II.mp4
25.24 MB
012.Metrics optimization/039. Classification metrics optimization II.srt
8.71 KB
013.Mean encodings/040. Concept of mean encoding.mp4
30.55 MB
013.Mean encodings/040. Concept of mean encoding.srt
9.9 KB
013.Mean encodings/041. Regularization.mp4
28.37 MB
013.Mean encodings/041. Regularization.srt
9.16 KB
013.Mean encodings/042. Extensions and generalizations.mp4
39.24 MB
013.Mean encodings/042. Extensions and generalizations.srt
12.21 KB
014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4
24.96 MB
014.Hyperparameter tuning/043. Hyperparameter tuning I.srt
8.84 KB
014.Hyperparameter tuning/044. Hyperparameter tuning II.mp4
43.3 MB
014.Hyperparameter tuning/044. Hyperparameter tuning II.srt
15.13 KB
014.Hyperparameter tuning/045. Hyperparameter tuning III.mp4
47.18 MB
014.Hyperparameter tuning/045. Hyperparameter tuning III.srt
15.17 KB
015.Tips and tricks/046. Practical guide.mp4
59.12 MB
015.Tips and tricks/046. Practical guide.srt
22.21 KB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.mp4
33.81 MB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.srt
23.44 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
21.55 KB
016.Advanced features II/049. Statistics and distance based features.mp4
20.96 MB
016.Advanced features II/049. Statistics and distance based features.srt
6.82 KB
016.Advanced features II/050. Matrix factorizations.mp4
24.14 MB
016.Advanced features II/050. Matrix factorizations.srt
9.02 KB
016.Advanced features II/051. Feature Interactions.mp4
20.41 MB
016.Advanced features II/051. Feature Interactions.srt
7.77 KB
016.Advanced features II/052. t-SNE.mp4
21.56 MB
016.Advanced features II/052. t-SNE.srt
7.47 KB
017.Ensembling/053. Introduction into ensemble methods.mp4
10.68 MB
017.Ensembling/053. Introduction into ensemble methods.srt
7.01 KB
017.Ensembling/054. Bagging.mp4
15.93 MB
017.Ensembling/054. Bagging.srt
11 KB
017.Ensembling/055. Boosting.mp4
27.94 MB
017.Ensembling/055. Boosting.srt
19.17 KB
017.Ensembling/056. Stacking.mp4
30.78 MB
017.Ensembling/056. Stacking.srt
18.99 KB
017.Ensembling/057. StackNet.mp4
29.25 MB
017.Ensembling/057. StackNet.srt
18.07 KB
017.Ensembling/058. Ensembling Tips and Tricks.mp4
25.59 MB
017.Ensembling/058. Ensembling Tips and Tricks.srt
17.97 KB
018.Competitions go through/059. Crowdflower Competition.mp4
36.12 MB
018.Competitions go through/059. Crowdflower Competition.srt
15.47 KB
018.Competitions go through/060. Springleaf Marketing Response.mp4
24.24 MB
018.Competitions go through/060. Springleaf Marketing Response.srt
7.9 KB
018.Competitions go through/061. Microsoft Malware Classification Challenge.mp4
68.35 MB
018.Competitions go through/061. Microsoft Malware Classification Challenge.srt
22.98 KB
018.Competitions go through/062. Walmart Trip Type Classification.mp4
29.55 MB
018.Competitions go through/062. Walmart Trip Type Classification.srt
9.98 KB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.mp4
34.77 MB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.srt
25.14 KB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.mp4
30.87 MB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.srt
21.89 KB
[FreeCoursesOnline.Me].url
133 B
[FreeTutorials.Us].url
119 B