https://github.com/webobite/coursera-machine_learning_specialization

https://www.coursera.org/specializations/machine-learning-introduction
https://github.com/webobite/coursera-machine_learning_specialization

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https://www.coursera.org/specializations/machine-learning-introduction

• Host: GitHub
• URL: https://github.com/webobite/coursera-machine_learning_specialization
• Owner: webobite
• Created: 2023-10-01T16:07:56.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-03T03:39:07.000Z (over 2 years ago)
• Last Synced: 2025-04-12T04:53:19.061Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 2.55 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Coursera/Machine Learning 

```bash

.

├── README.md

└── Supervised Machine Learning: Regression and Classification

    ├── Week 1: Introduction to Machine Learning

    │   ├── 1. Overview of Machine Learning

    │   │   ├── 1. Welcome to machine learning!.txt

    │   │   └── 2. Applications of machine learning.txt

    │   ├── 2. Supervised vs. Unsupervised Machine Learning

    │   │   ├── 1. What is Machine Learning.txt

    │   │   ├── 2._01_examples_of_supervised_machine_learning_alogrithm_applications_in_real_world.png

    │   │   ├── 2._02_examples_of_housing_price_prediction_using_regression.png

    │   │   ├── 2. Supervised Learning Part 1.txt

    │   │   ├── 3._01_examples_breast_cancer_detection.png

    │   │   ├── 3._02_examples_breast_cancer_detection_2_or_more_input.png

    │   │   ├── 3._03_summary_of_supervised_learning.png

    │   │   ├── 3. Supervised Learning Part 2.txt

    │   │   ├── 4._01_difference_between_supervised_and_unsupervised_learning.png

    │   │   ├── 4._02_usage_of_clustring_in_dna_analysis.png

    │   │   ├── 4._03_usage_of_clustring_in_market_segmentation.png

    │   │   ├── 4. UnSupervised Learning Part 1.txt

    │   │   ├── 4. UnSupervised Learning Part 2.txt

    │   │   └── 5. Jupyter Notebooks.txt

    │   ├── 3. Practice Quiz: Supervised vs unsupervised learning

    │   │   └── 1._practise_quiz_supervised_vs_unsupervised_learning.png

    │   ├── 4. Regression Model

    │   ├── 5. Practise Quiz: Regression Model

    │   ├── 6. Train Model with Gradient Descent

    │   ├── 7. Practise Quiz: Train Model with Gradient Descent

    │   └── Optional Labs

    │       ├── C1_W1_Lab01_Python_Jupyter_Soln.ipynb

    │       ├── C1_W1_Lab03_Model_Representation_Soln.ipynb

    │       ├── C1_W1_Lab04_Cost_function_Soln.ipynb

    │       ├── C1_W1_Lab05_Gradient_Descent_Soln.ipynb

    │       ├── data.txt

    │       ├── deeplearning.mplstyle

    │       ├── images

    │       │   ├── C1W1L1_Markdown.PNG

    │       │   ├── C1W1L1_Run.PNG

    │       │   ├── C1W1L1_Tour.PNG

    │       │   ├── C1_W1_L3_S1_Lecture_b.png

    │       │   ├── C1_W1_L3_S1_model.png

    │       │   ├── C1_W1_L3_S1_trainingdata.png

    │       │   ├── C1_W1_L3_S2_Lecture_b.png

    │       │   ├── C1_W1_L4_S1_Lecture_GD.png

    │       │   ├── C1_W1_Lab02_GoalOfRegression.PNG

    │       │   ├── C1_W1_Lab03_alpha_too_big.PNG

    │       │   ├── C1_W1_Lab03_lecture_learningrate.PNG

    │       │   └── C1_W1_Lab03_lecture_slopes.PNG

    │       ├── lab_utils_common.py

    │       └── lab_utils_uni.py

    ├── Week 2: Regression with multiple input variables

    └── Week 3: Classification

```