Udemy - Machine learning model evaluation in Python

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[ DevCourseWeb.com ] Udemy - Machine learning model evaluation in Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 001 Introduction.html (0.2 KB)
    02 - Evaluation of regression models
    • 001 Regression performance metrics.mp4 (54.7 MB)
    • 001 Regression performance metrics_en.srt (11.5 KB)
    • 002 Regression performance metrics in Python.mp4 (25.7 MB)
    • 002 Regression performance metrics in Python_en.srt (5.2 KB)
    • 002 Regression-metrics.ipynb (3.7 KB)
    • 003 Pairplot in Python.mp4 (20.7 MB)
    • 003 Pairplot in Python_en.srt (4.8 KB)
    • 003 Pairplot.ipynb (16.5 KB)
    03 - Evaluation of binary classification models
    • 001 Binary classification performance metrics.mp4 (80.7 MB)
    • 001 Binary classification performance metrics_en.srt (15.6 KB)
    • 002 Binary classification performance metrics in Python.mp4 (42.9 MB)
    • 002 Binary classification performance metrics in Python_en.srt (10.1 KB)
    • 002 Binary-classification-metrics.ipynb (5.5 KB)
    • 003 Introduction to ROC curve.mp4 (49.8 MB)
    • 003 Introduction to ROC curve_en.srt (8.7 KB)
    • 004 ROC curve in Python.mp4 (21.9 MB)
    • 004 ROC curve in Python_en.srt (5.5 KB)
    • 004 ROC-curve.ipynb (24.9 KB)
    04 - Evaluation of multi-class classification models
    • 001 Multi-class classification performance metrics.mp4 (41.2 MB)
    • 001 Multi-class classification performance metrics_en.srt (9.9 KB)
    • 002 Multi-class classification performance metrics in Python.mp4 (35.4 MB)
    • 002 Multi-class classification performance metrics in Python_en.srt (8.2 KB)
    • 002 Multiclass-classification-metrics.ipynb (4.7 KB)
    05 - Final suggestions
    • 001 When to use classification performance metrics.mp4 (47.4 MB)
    • 001 When to use classification performance metrics_en.srt (7.0 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Machine learning model evaluation in Python



https://DevCourseWeb.com

Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 lectures (1h 18m) | Size: 420.4 MB

A practical course on how to evaluate the performance of a machine learning model using Python

What you'll learn
Regression metrics (R-squared, MAE, MAPE)
Confusion matrix
ROC curve and its area
Precision, Recall, F1 score
Accuracy, balanced accuracy

Requirements
Python porgramming language



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420.4 MB
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Udemy - Machine learning model evaluation in Python

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420.4 MB
seeders:5
leechers:5
Udemy - Machine learning model evaluation in Python

Torrent hash: 2B17289EF2A566DE79F687B03086DC38AB59EF9B