Udemy - Binary Classification and Explainability for Data Science...

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 574.3 MB
  • Uploaded By freecoursewb
  • Downloads 110
  • Last checked 1 month ago
  • Date uploaded 2 years ago
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Infohash : AF0E709840F25AB1E0E3FD6FEC0F7172D1B5B91B



Binary Classification & Explainability for Data Science!



https://DevCourseWeb.com

Published 8/2023
Created by Kayla Every
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 46m ) | Size: 574 MB

Predict if a person is looking for a new job or not

What you'll learn
Hands on Data Science project and experience that can be applied across industries.
Build a machine learning model that can be used for binary classification problems - will user do A or B?
Understand the steps required to build a machine learning model - data collection, exploration, transformation, model selection, training and evaluation.
Understand explainability in Data Science using SHAP - what is impacting the model's prediction?

Requirements
Basic understanding of Python and Data Science concepts

Files:

[ DevCourseWeb.com ] Udemy - Binary Classification and Explainability for Data Science!
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction to Me.mp4 (58.3 MB)
    10. Model Evaluation
    • 1. Model Evaluation.mp4 (42.3 MB)
    • 2. Model Evaluation.html (0.2 KB)
    11. Model Explainability
    • 1. SHAP Values and Explainability.mp4 (83.3 MB)
    • 2. What is a SHAP Value.html (0.2 KB)
    2. What We'll Be Covering
    • 1. What will you learn.mp4 (23.5 MB)
    3. Problem Statement
    • 1. Problem Statement and Jupyter Notebook Launch.mp4 (30.4 MB)
    • 1.1 aug_test.csv (205.6 KB)
    • 1.2 aug_train.csv (1.9 MB)
    • 1.3 Kaggle Link.html (0.1 KB)
    4. Data Collection
    • 1. Data Collection.mp4 (68.8 MB)
    • 2. How do you know your training data is reliable.html (0.2 KB)
    5. Data Exploration
    • 1. Exploratory Data Analysis.mp4 (76.7 MB)
    6. Feature Engineering
    • 1. Feature Engineering.mp4 (65.3 MB)
    • 2. Different types of Feature Engineering.html (0.2 KB)
    7. Binary Classification Model Selection
    • 1. Model Selection.mp4 (22.2 MB)
    8. Data Transformation
    • 1. Data Transformation.mp4 (75.0 MB)
    9. Binary Classification Model Training
    • 1. Model Training.mp4 (26.3 MB)
    • Bonus Resources.txt (0.4 KB)

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