In this 3 hour long tutorial we will be doing a simple data science project using the ML/Data Science Workflow. Pls the Outline is below for each section.
Udemy Course : Building ML Web Apps
https://www.udemy.com/course/building...
Outline
10:00 Project Structure
14:14 Workflow
15:10 Data Prep & Cleaning
31:10 EDA
36:30 Frequency Table
41:40 Frequency Table Plot with pandas
42:50 Frequency Table Plot with Matplotlib with Age Range
45:18 Pie Chart
46:20 Outlier Detection
1:05:20 Feature Selection with SelectKBest
1:18:44 Feature Selection with RFE
1:27:00 Feature Selection & Importance with ExtraTreeClassifier
1:36:20 Model Building
1:58:12 Serializing ML Models
2:04:05 Plotting a Decision Tree Graph
2:11:02 Interpreting the Model with Lime
2:24:00 Interpreting the Model with Eli5
2:30:40 Evaluating the Model & Confusion Matrix
2:35:15 Plotting Confusion Matrix
2:40:05 Pandas-ml
==Code==
https://github.com/Jcharis/data-scien...
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J-Secur1ty JCharisTech
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