搜索
[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
磁力链接/BT种子名称
[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
磁力链接/BT种子简介
种子哈希:
73a9deab2362bd262a94bf98e24a3ddff2547bcb
文件大小:
2.03G
已经下载:
759
次
下载速度:
极快
收录时间:
2018-09-20
最近下载:
2024-10-25
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:73A9DEAB2362BD262A94BF98E24A3DDFF2547BCB
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
91视频
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
抖阴破解版
暗网禁地
91短视频
TikTok成人版
PornHub
草榴社区
乱伦社区
最近搜索
国际调查员追踪acmere
+same
the secret garden.2020
闺蜜舔
虐待幼幼
escape the fate
enough 2002
kaylani
电影制服狩
夜夜主演
behind the scenes of th
明星颜值外围女神
bailey
网红乳
3p网红极品
最新百合
shipwreck
强推强推
广濑绪里菜
299
shank
妹子打飞机
三乳
k-20
电影
中学生福利
给老婆
【极品360】
复仇之焰
underworld
文件列表
001.Welcome to How to win a data science competition/001. Introduction.mp4
10.2 MB
001.Welcome to How to win a data science competition/001. Introduction.srt
2.8 kB
001.Welcome to How to win a data science competition/002. Meet your lecturers.mp4
14.5 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
36.3 MB
001.Welcome to How to win a data science competition/003. Course overview.srt
10.4 kB
002.Competition mechanics/004. Competition Mechanics.mp4
26.1 MB
002.Competition mechanics/004. Competition Mechanics.srt
11.2 kB
002.Competition mechanics/005. Kaggle Overview [screencast].mp4
33.9 MB
002.Competition mechanics/005. Kaggle Overview [screencast].srt
9.4 kB
002.Competition mechanics/006. Real World Application vs Competitions.mp4
21.0 MB
002.Competition mechanics/006. Real World Application vs Competitions.srt
8.9 kB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.mp4
35.1 MB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.srt
13.9 kB
004.Software Hardware requirements/008. Software Hardware Requirements.mp4
22.6 MB
004.Software Hardware requirements/008. Software Hardware Requirements.srt
8.1 kB
005.Feature preprocessing and generation with respect to models/009. Overview.mp4
26.9 MB
005.Feature preprocessing and generation with respect to models/009. Overview.srt
9.2 kB
005.Feature preprocessing and generation with respect to models/010. Numeric features.mp4
50.7 MB
005.Feature preprocessing and generation with respect to models/010. Numeric features.srt
19.0 kB
005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.mp4
42.5 MB
005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.srt
13.5 kB
005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.mp4
34.0 MB
005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.srt
10.5 kB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.mp4
39.7 MB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.srt
13.1 kB
006.Feature extraction from text and images/014. Bag of words.mp4
39.9 MB
006.Feature extraction from text and images/014. Bag of words.srt
14.0 kB
006.Feature extraction from text and images/015. Word2vec, CNN.mp4
48.2 MB
006.Feature extraction from text and images/015. Word2vec, CNN.srt
17.2 kB
007.Final project/016. Final project overview.mp4
18.7 MB
007.Final project/016. Final project overview.srt
5.6 kB
008.Exploratory data analysis/017. Exploratory data analysis.mp4
25.1 MB
008.Exploratory data analysis/017. Exploratory data analysis.srt
9.9 kB
008.Exploratory data analysis/018. Building intuition about the data.mp4
23.4 MB
008.Exploratory data analysis/018. Building intuition about the data.srt
9.7 kB
008.Exploratory data analysis/019. Exploring anonymized data.mp4
45.1 MB
008.Exploratory data analysis/019. Exploring anonymized data.srt
18.6 kB
008.Exploratory data analysis/020. Visualizations.mp4
44.7 MB
008.Exploratory data analysis/020. Visualizations.srt
16.5 kB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.mp4
27.1 MB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.srt
9.8 kB
009.EDA examples/022. Springleaf competition EDA I.mp4
21.1 MB
009.EDA examples/022. Springleaf competition EDA I.srt
9.2 kB
009.EDA examples/023. Springleaf competition EDA II.mp4
46.5 MB
009.EDA examples/023. Springleaf competition EDA II.srt
20.3 kB
009.EDA examples/024. Numerai competition EDA.mp4
23.0 MB
009.EDA examples/024. Numerai competition EDA.srt
7.9 kB
010.Validation/025. Validation and overfitting.mp4
35.7 MB
010.Validation/025. Validation and overfitting.srt
13.6 kB
010.Validation/026. Validation strategies.mp4
27.4 MB
010.Validation/026. Validation strategies.srt
9.3 kB
010.Validation/027. Data splitting strategies.mp4
58.9 MB
010.Validation/027. Data splitting strategies.srt
19.1 kB
010.Validation/028. Problems occurring during validation.mp4
74.5 MB
010.Validation/028. Problems occurring during validation.srt
26.0 kB
011.Data leakages/029. Basic data leaks.mp4
23.2 MB
011.Data leakages/029. Basic data leaks.srt
8.3 kB
011.Data leakages/030. Leaderboard probing and examples of rare data leaks.mp4
35.7 MB
011.Data leakages/030. Leaderboard probing and examples of rare data leaks.srt
12.5 kB
011.Data leakages/031. Expedia challenge.mp4
37.4 MB
011.Data leakages/031. Expedia challenge.srt
11.7 kB
012.Metrics optimization/032. Motivation.mp4
28.8 MB
012.Metrics optimization/032. Motivation.srt
10.8 kB
012.Metrics optimization/033. Regression metrics review I.mp4
48.6 MB
012.Metrics optimization/033. Regression metrics review I.srt
17.9 kB
012.Metrics optimization/034. Regression metrics review II.mp4
30.6 MB
012.Metrics optimization/034. Regression metrics review II.srt
9.8 kB
012.Metrics optimization/035. Classification metrics review.mp4
73.7 MB
012.Metrics optimization/035. Classification metrics review.srt
24.8 kB
012.Metrics optimization/036. General approaches for metrics optimization.mp4
24.9 MB
012.Metrics optimization/036. General approaches for metrics optimization.srt
8.2 kB
012.Metrics optimization/037. Regression metrics optimization.mp4
37.6 MB
012.Metrics optimization/037. Regression metrics optimization.srt
12.4 kB
012.Metrics optimization/038. Classification metrics optimization I.mp4
27.5 MB
012.Metrics optimization/038. Classification metrics optimization I.srt
9.2 kB
012.Metrics optimization/039. Classification metrics optimization II.mp4
26.5 MB
012.Metrics optimization/039. Classification metrics optimization II.srt
8.9 kB
013.Mean encodings/040. Concept of mean encoding.mp4
32.0 MB
013.Mean encodings/040. Concept of mean encoding.srt
10.1 kB
013.Mean encodings/041. Regularization.mp4
29.7 MB
013.Mean encodings/041. Regularization.srt
9.4 kB
013.Mean encodings/042. Extensions and generalizations.mp4
41.1 MB
013.Mean encodings/042. Extensions and generalizations.srt
12.5 kB
014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4
26.2 MB
014.Hyperparameter tuning/043. Hyperparameter tuning I.srt
9.1 kB
014.Hyperparameter tuning/044. Hyperparameter tuning II.mp4
45.4 MB
014.Hyperparameter tuning/044. Hyperparameter tuning II.srt
15.5 kB
014.Hyperparameter tuning/045. Hyperparameter tuning III.mp4
49.5 MB
014.Hyperparameter tuning/045. Hyperparameter tuning III.srt
15.5 kB
015.Tips and tricks/046. Practical guide.mp4
62.0 MB
015.Tips and tricks/046. Practical guide.srt
22.7 kB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.mp4
35.5 MB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.srt
24.0 kB
015.Tips and tricks/048. KazAnova's competition pipeline, part 2.mp4
33.6 MB
015.Tips and tricks/048. KazAnova's competition pipeline, part 2.srt
22.1 kB
016.Advanced features II/049. Statistics and distance based features.mp4
22.0 MB
016.Advanced features II/049. Statistics and distance based features.srt
7.0 kB
016.Advanced features II/050. Matrix factorizations.mp4
25.3 MB
016.Advanced features II/050. Matrix factorizations.srt
9.2 kB
016.Advanced features II/051. Feature Interactions.mp4
21.4 MB
016.Advanced features II/051. Feature Interactions.srt
8.0 kB
016.Advanced features II/052. t-SNE.mp4
22.6 MB
016.Advanced features II/052. t-SNE.srt
7.7 kB
017.Ensembling/053. Introduction into ensemble methods.mp4
11.2 MB
017.Ensembling/053. Introduction into ensemble methods.srt
7.2 kB
017.Ensembling/054. Bagging.mp4
16.7 MB
017.Ensembling/054. Bagging.srt
11.3 kB
017.Ensembling/055. Boosting.mp4
29.3 MB
017.Ensembling/055. Boosting.srt
19.6 kB
017.Ensembling/056. Stacking.mp4
32.3 MB
017.Ensembling/056. Stacking.srt
19.4 kB
017.Ensembling/057. StackNet.mp4
30.7 MB
017.Ensembling/057. StackNet.srt
18.5 kB
017.Ensembling/058. Ensembling Tips and Tricks.mp4
26.8 MB
017.Ensembling/058. Ensembling Tips and Tricks.srt
18.4 kB
018.Competitions go through/059. Crowdflower Competition.mp4
37.9 MB
018.Competitions go through/059. Crowdflower Competition.srt
15.8 kB
018.Competitions go through/060. Springleaf Marketing Response.mp4
25.4 MB
018.Competitions go through/060. Springleaf Marketing Response.srt
8.1 kB
018.Competitions go through/061. Microsoft Malware Classification Challenge.mp4
71.7 MB
018.Competitions go through/061. Microsoft Malware Classification Challenge.srt
23.5 kB
018.Competitions go through/062. Walmart Trip Type Classification.mp4
31.0 MB
018.Competitions go through/062. Walmart Trip Type Classification.srt
10.2 kB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.mp4
36.5 MB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.srt
25.7 kB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.mp4
32.4 MB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.srt
22.4 kB
[FreeCoursesOnline.Me].url
133 Bytes
[FreeTutorials.Us].url
119 Bytes
[FTU Forum].url
252 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!
>