Udemy - The Complete Linear and Logistic Regression Course in Python

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[ DevCourseWeb.com ] Udemy - The Complete Linear and Logistic Regression Course in Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Course Structure.mp4 (8.8 MB)
    • 2. IMPORTANT NOTES PLEASE DO NOT SKIP.mp4 (4.7 MB)
    • 3. How to make out of this course.mp4 (8.8 MB)
    • 4. What is regression.mp4 (57.7 MB)
    • 4.1 Regression.ipynb (112.4 KB)
    2. Linear Regression Theory and Practice
    • 1. Introduction to Linear regression.mp4 (52.8 MB)
    • 1.1 Linear_Regression.ipynb (68.2 KB)
    • 2. Linear Regression Implementation.mp4 (78.2 MB)
    • 2.1 Linear_Regression (1).ipynb (98.9 KB)
    • 3. Introduction to multiple and multivariate linear regression.mp4 (75.3 MB)
    • 3.1 Multiple_and_multivariate_Linear_Regression.ipynb (122.8 KB)
    • 4. Simple linear regression using TensorFlow Keras.mp4 (110.6 MB)
    • 4.1 Linear_Regression_Implementation_with_Tensorflow_Keras.ipynb (44.8 KB)
    • 5. Multiple and multivariate linear regression Implementation Part 1.mp4 (90.9 MB)
    • 5.1 Multiple_and_multivariate_Linear_Regression (1).ipynb (567.5 KB)
    • 6. Multiple and multivariate linear regression Implementation Part 2.mp4 (68.8 MB)
    • 6.1 Multiple_and_multivariate_Linear_Regression (2).ipynb (601.9 KB)
    • 7. Multiple and multivariate linear regression Implementation Final Part.mp4 (50.5 MB)
    • 7.1 Multiple_and_multivariate_Linear_Regression (3).ipynb (623.5 KB)
    3. Logistic Regression Theory and Practice
    • 1. Introduction to classification.mp4 (28.6 MB)
    • 1.1 Introduction_to_classification.ipynb (1.4 KB)
    • 2. Introduction to Logistic Regression.mp4 (38.3 MB)
    • 2.1 Introduction_to_Logistic_Regression.ipynb (143.3 KB)
    • 3. Logistic Regression implementation Part 1.mp4 (75.4 MB)
    • 4. Logistic Regression implementation Part 2.mp4 (83.1 MB)
    • 5. Logistic Regression Implementation Final part.mp4 (67.3 MB)
    • 5.1 Introduction_to_Logistic_Regression (2).ipynb (191.6 KB)
    4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard
    • 1. Housing data Implementation part 1.mp4 (131.5 MB)
    • 1.1 Advanced_Linear_and_Logistic_Regression_implementation.ipynb (5.0 KB)
    • 2. Housing data Implementation Part 2.mp4 (121.5 MB)
    • 2.1 Advanced_Linear_and_Logistic_Regression_implementation (1).ipynb (10.1 MB)
    • 3. Housing data implementation Part 3.mp4 (102.5 MB)
    • 3.1 Advanced_Linear_and_Logistic_Regression_implementation (2).ipynb (20.3 MB)
    • 4. Housing data implementation Part 4.mp4 (102.2 MB)
    • 4.1 Advanced_Linear_and_Logistic_Regression_implementation (3).ipynb (20.2 MB)
    • 5. Housing data implementation Part 5.mp4 (107.3 MB)
    • 5.1 Advanced_Linear_and_Logistic_Regression_implementation (4).ipynb (30.4 MB)
    • 6. Housing data implementation Part 6.mp4 (122.0 MB)
    • 6.1 Advanced_Linear_and_Logistic_Regression_implementation (5).ipynb (40.5 MB)
    • 7. Housing data implementation Part 7.mp4 (108.0 MB)
    • 7.1 Advanced_Linear_and_Logistic_Regression_implementation (7).ipynb (60.8 MB)
    • 8. Housing data implementation Final Part.mp4 (66.3 MB)
    • 8.1 Advanced_Linear_and_Logistic_Regression_implementation (9).ipynb (70.9 MB)
    • 9. Breast Cancer project Implementation with Logistic Regression.mp4 (140.5 MB)
    • 9.1 Advanced_Linear_and_Logistic_Regression_implementation (10).ipynb (81.0 MB)
    5. Logistic Implementation with Diabetes Project
    • 1. Introduction and Implementation.mp4 (123.2 MB)
    • 1.2 Diabetes_Project_with_logistic_Regression.ipynb (14.4 KB)
      • diabetes_logistic_regression
      • diabetes.csv (25.2 KB)
      6. Thank you
      • 1. Thank you.mp4 (24.0 MB)
      • Bonus Resources.txt (0.4 KB)

Description

The Complete Linear and Logistic Regression Course in Python



https://DevCourseWeb.com

Published 1/2023
Created by Hoang Quy La
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 4h 46m ) | Size: 2.32 GB

Lasso and Ridge Regression, Elastic Net Regression, Linear Regression, Logistic Regression, pickle, tempfile.

What you'll learn
Tensorflow
Tensorboard
pandas
ReLU activation function.
Seaborn
Google Colab
Import data from the UCI repository.
scikit-learn
Logistic Regression.
Linear Regression.
numpy
pickle
tempfile
Lasso and Ridge Regression
Elastic Net Regression
Multiple and multivariate linear regression
TensorFlow Keras API

Requirements
Basic knowledge of Python is required.



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Udemy - The Complete Linear and Logistic Regression Course in Python

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Download torrent
2.3 GB
seeders:2
leechers:14
Udemy - The Complete Linear and Logistic Regression Course in Python

Torrent hash: EBCCB4D5B52956BC65A3BB724DF94EE659251867