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setting_up_python.pdf
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~Get Your Files Here !
1 - Section 1 Setting Everything Up
2 - Section 2 Running Zeek Suricata Ansible
3 - Section 3 Putting Everything Together
4 - Section 4 Enriching the Analysis Pipeline
32. Python Primer Course Notebook.pdf
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1 - Introduction
Logistic Regression in Python
Data Files
Others
Presentation
10 - Knearest Neighbors Classifier
11 - Understanding The Results
12 - Appendix 1 Linear Regression In Python
ML Practical task 3
ML Task 1
ML Task 2
13 - Congratulations About Your Certificate
2 - Introduction To Machine Learning
3 - Basics Of Statistics
4 - Setting Up Python And Jupyter Notebook
5 - Important Python Libraries
6 - Data Preprocessing
31 - 03-04-PDE-Univariate-Analysis-Uni.pdf
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34 - 04-06-PDE-Outlier-Treatment.pdf
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355.1 KB
37 - 04-05-PDE-Missing-value.pdf
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315.7 KB
40 - 04-07-PDE-Seasonality.pdf
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364.1 KB
41 - 04-07-Variable-Transformation.pdf
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456.1 KB
44 - 04-11-Dummy-Var.pdf
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163 KB
7 - Classification Models
47 - 01-INtro.pdf
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190.4 KB
48 - 02-whynot-linear.pdf
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155.3 KB
49 - 03-logistic.pdf
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352.7 KB
52 - 04-P-value.pdf
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228 KB
53 - 05-Multiple-predictors.pdf
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151.3 KB
56 - 06-Confusion-matrix.pdf
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222.3 KB
58 - 08-ROC.pdf
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306.9 KB
8 - Linear Discriminant Analysis Lda
61 - 07-LDA.pdf
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183.1 KB
9 - Testtrain Split
64 - 10-Test-Train.pdf
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1 - Traffic source fields in GA4-BigQuery
2 - Introduction to attribution models
3 - Setting up GA4 for attribution analysis
4 - Sessionization in BigQuery
5 - Attribution models First Click, Last Click
6 - Linear attribution model
7 - Attribution in Python
18. Lesson 6 - Presentation.pdf
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setting_up_python.pdf
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