首页
磁力链接怎么用
한국어
English
日本語
简体中文
繁體中文
[FreeCoursesOnline.Me] Coursera - How to Win a Data Science Competition Learn from Top Kagglers
文件类型
收录时间
最后活跃
资源热度
文件大小
文件数量
视频
2018-9-14 22:30
2024-8-18 14:37
151
2.03 GB
64
磁力链接
magnet:?xt=urn:btih:73a9deab2362bd262a94bf98e24a3ddff2547bcb
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjczYTlkZWFiMjM2MmJkMjYyYTk0YmY5OGUyNGEzZGRmZjI1NDdiY2JaWg==
二维码链接
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
相关链接
FreeCoursesOnline
Me
Coursera
-
How
to
Win
a
Data
Science
Competition
Learn
from
Top
Kagglers
文件列表
001.Welcome to How to win a data science competition/001. Introduction.mp4
9.72MB
001.Welcome to How to win a data science competition/002. Meet your lecturers.mp4
13.85MB
001.Welcome to How to win a data science competition/003. Course overview.mp4
34.63MB
002.Competition mechanics/004. Competition Mechanics.mp4
24.94MB
002.Competition mechanics/005. Kaggle Overview [screencast].mp4
32.38MB
002.Competition mechanics/006. Real World Application vs Competitions.mp4
20MB
003.Recap of main ML algorithms/007. Recap of main ML algorithms.mp4
33.45MB
004.Software Hardware requirements/008. Software Hardware Requirements.mp4
21.53MB
005.Feature preprocessing and generation with respect to models/009. Overview.mp4
25.67MB
005.Feature preprocessing and generation with respect to models/010. Numeric features.mp4
48.31MB
005.Feature preprocessing and generation with respect to models/011. Categorical and ordinal features.mp4
40.55MB
005.Feature preprocessing and generation with respect to models/012. Datetime and coordinates.mp4
32.41MB
005.Feature preprocessing and generation with respect to models/013. Handling missing values.mp4
37.85MB
006.Feature extraction from text and images/014. Bag of words.mp4
38.04MB
006.Feature extraction from text and images/015. Word2vec, CNN.mp4
45.96MB
007.Final project/016. Final project overview.mp4
17.81MB
008.Exploratory data analysis/017. Exploratory data analysis.mp4
23.95MB
008.Exploratory data analysis/018. Building intuition about the data.mp4
22.29MB
008.Exploratory data analysis/019. Exploring anonymized data.mp4
43.05MB
008.Exploratory data analysis/020. Visualizations.mp4
42.59MB
008.Exploratory data analysis/021. Dataset cleaning and other things to check.mp4
25.83MB
009.EDA examples/022. Springleaf competition EDA I.mp4
20.11MB
009.EDA examples/023. Springleaf competition EDA II.mp4
44.36MB
009.EDA examples/024. Numerai competition EDA.mp4
21.95MB
010.Validation/025. Validation and overfitting.mp4
34.09MB
010.Validation/026. Validation strategies.mp4
26.15MB
010.Validation/027. Data splitting strategies.mp4
56.16MB
010.Validation/028. Problems occurring during validation.mp4
71.05MB
011.Data leakages/029. Basic data leaks.mp4
22.14MB
011.Data leakages/030. Leaderboard probing and examples of rare data leaks.mp4
34.07MB
011.Data leakages/031. Expedia challenge.mp4
35.65MB
012.Metrics optimization/032. Motivation.mp4
27.49MB
012.Metrics optimization/033. Regression metrics review I.mp4
46.38MB
012.Metrics optimization/034. Regression metrics review II.mp4
29.2MB
012.Metrics optimization/035. Classification metrics review.mp4
70.29MB
012.Metrics optimization/036. General approaches for metrics optimization.mp4
23.71MB
012.Metrics optimization/037. Regression metrics optimization.mp4
35.84MB
012.Metrics optimization/038. Classification metrics optimization I.mp4
26.25MB
012.Metrics optimization/039. Classification metrics optimization II.mp4
25.24MB
013.Mean encodings/040. Concept of mean encoding.mp4
30.55MB
013.Mean encodings/041. Regularization.mp4
28.37MB
013.Mean encodings/042. Extensions and generalizations.mp4
39.24MB
014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4
24.96MB
014.Hyperparameter tuning/044. Hyperparameter tuning II.mp4
43.3MB
014.Hyperparameter tuning/045. Hyperparameter tuning III.mp4
47.18MB
015.Tips and tricks/046. Practical guide.mp4
59.12MB
015.Tips and tricks/047. KazAnova's competition pipeline, part 1.mp4
33.81MB
015.Tips and tricks/048. KazAnova's competition pipeline, part 2.mp4
32MB
016.Advanced features II/049. Statistics and distance based features.mp4
20.96MB
016.Advanced features II/050. Matrix factorizations.mp4
24.14MB
016.Advanced features II/051. Feature Interactions.mp4
20.41MB
016.Advanced features II/052. t-SNE.mp4
21.56MB
017.Ensembling/053. Introduction into ensemble methods.mp4
10.68MB
017.Ensembling/054. Bagging.mp4
15.93MB
017.Ensembling/055. Boosting.mp4
27.94MB
017.Ensembling/056. Stacking.mp4
30.78MB
017.Ensembling/057. StackNet.mp4
29.25MB
017.Ensembling/058. Ensembling Tips and Tricks.mp4
25.59MB
018.Competitions go through/059. Crowdflower Competition.mp4
36.12MB
018.Competitions go through/060. Springleaf Marketing Response.mp4
24.24MB
018.Competitions go through/061. Microsoft Malware Classification Challenge.mp4
68.35MB
018.Competitions go through/062. Walmart Trip Type Classification.mp4
29.55MB
018.Competitions go through/063. Acquire Valued Shoppers Challenge, part 1.mp4
34.77MB
018.Competitions go through/064. Acquire Valued Shoppers Challenge, part 2.mp4
30.87MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!
违规内容投诉邮箱:
[email protected]
概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统