首页
磁力链接怎么用
한국어
English
日本語
简体中文
繁體中文
[DesireCourse.Net] Udemy - Machine Learning Basics Classification models in Python
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
2021-10-8 07:08
2024-9-2 03:06
229
2.15 GB
52
磁力链接
magnet:?xt=urn:btih:863d6437e156cbfad6dad218e677a6a171f2b964
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjg2M2Q2NDM3ZTE1NmNiZmFkNmRhZDIxOGU2NzdhNmExNzFmMmI5NjRaWg==
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
DesireCourse
Net
Udemy
-
Machine
Learning
Basics
Classification
models
in
Python
文件列表
1. Introduction/1. Welcome to the course!.mp4
17.6MB
2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.83MB
2. Introduction to Machine Learning/2. Building a Machine Learning model.mp4
45.27MB
3. Basics of Statistics/1. Types of Data.mp4
25.86MB
3. Basics of Statistics/2. Types of Statistics.mp4
13.24MB
3. Basics of Statistics/3. Describing data Graphically.mp4
82.16MB
3. Basics of Statistics/4. Measures of Centers.mp4
45.69MB
3. Basics of Statistics/6. Measures of Dispersion.mp4
28.38MB
4. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4
18.64MB
4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4
73.06MB
4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4
51.28MB
4. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4
15.97MB
4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4
80.59MB
4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4
73.66MB
4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4
54.1MB
4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4
56.4MB
4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4
48.86MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4
25.13MB
5. Data Preprocessing/10. Outlier treatment in Python.mp4
58.44MB
5. Data Preprocessing/12. Missing Value Imputation.mp4
27.56MB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp4
27.65MB
5. Data Preprocessing/15. Seasonality in Data.mp4
20.88MB
5. Data Preprocessing/16. Variable Transformation.mp4
15.29MB
5. Data Preprocessing/17. Variable transformation and Deletion in Python.mp4
35.58MB
5. Data Preprocessing/19. Dummy variable creation Handling qualitative data.mp4
40.6MB
5. Data Preprocessing/2. Data Exploration.mp4
23.4MB
5. Data Preprocessing/20. Dummy variable creation in Python.mp4
33.87MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4
87.62MB
5. Data Preprocessing/4. Data Import in Python.mp4
25.49MB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4
27.31MB
5. Data Preprocessing/7. EDD in Python.mp4
97.09MB
5. Data Preprocessing/9. Outlier Treatment.mp4
27.77MB
6. Classification Models/1. Three Classifiers and the problem statement.mp4
22.93MB
6. Classification Models/10. Confusion Matrix.mp4
26.65MB
6. Classification Models/11. Making Confusion Matrix in Python.mp4
64.71MB
6. Classification Models/12. Evaluating performance of model.mp4
42.79MB
6. Classification Models/13. Evaluating model performance in Python.mp4
11.77MB
6. Classification Models/15. Linear Discriminant Analysis.mp4
48.68MB
6. Classification Models/16. LDA in Python.mp4
14.38MB
6. Classification Models/18. Test-Train Split.mp4
45.69MB
6. Classification Models/19. Test-Train Split in Python.mp4
43.1MB
6. Classification Models/2. Why can't we use Linear Regression.mp4
20.4MB
6. Classification Models/21. K-Nearest Neighbors classifier.mp4
83.57MB
6. Classification Models/22. K-Nearest Neighbors in Python Part 1.mp4
45.85MB
6. Classification Models/23. K-Nearest Neighbors in Python Part 2.mp4
51.98MB
6. Classification Models/25. Understanding the results of classification models.mp4
45.98MB
6. Classification Models/26. Summary of the three models.mp4
25.25MB
6. Classification Models/3. Logistic Regression.mp4
39.11MB
6. Classification Models/4. Training a Simple Logistic Model in Python.mp4
61.19MB
6. Classification Models/6. Result of Simple Logistic Regression.mp4
31.15MB
6. Classification Models/7. Logistic with multiple predictors.mp4
9.99MB
6. Classification Models/8. Training multiple predictor Logistic model in Python.mp4
34.02MB
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