How jpandersen61/machine-learning works
This repository is a collection of teaching notebooks covering Python, data analysis, machine learning, and generative AI—not a single application. The likely learner workflow is to open a topic notebook, work through its exercise or solution, and, for data-based lessons, use a corresponding CSV. With no README or sampled notebook source, dataset links and runtime behavior cannot be verified; the graph reflects only clear filename-level associations.
Main entry points: 50StartUps_Load_Data.ipynb Startup Data Loading · Linear_Regression_Lifeexpectancy.ipynb Life Expectancy Regression · Classification_Diagnosing_Diabetes.ipynb Diabetes Classification · Mandatory_assignment_Wine_Quality.ipynb Wine Quality
Components 23
Python Foundations
- Python Basics 1
Python_Basic_1.ipynb - Python Basics 2
Python_Basic_2.ipynb - Python Exercise
Initial_Python_Execise.ipynb
Supervised Learning
- Linear Regression
Linear_Regression.ipynb - Startup Regression
50StartUps.ipynb - Startup Data Loading
50StartUps_Load_Data.ipynb - Startup Data
50_Startups.csv - Housing Exercises
Housing_1_Notebook.ipynb - Life Expectancy Regression
Linear_Regression_Lifeexpectancy.ipynb - Life Expectancy Data
Life Expectancy Data (WHO).csv - Diabetes Classification
Classification_Diagnosing_Diabetes.ipynb - Diabetes Data
diabetes.csv - MNIST Classification
Classfication_MNIST_Exercise.ipynb - Fashion Classification
Fashion_classification_neural_nets_with_keras_start.ipynb - Wine Quality
Mandatory_assignment_Wine_Quality.ipynb - Wine Quality Data
WineQT.csv - Iris SVM
SupportVectorMachinesIris.ipynb
Unsupervised Learning
- Clustering Lessons
Unsupervised_learning_clustering_Setup.ipynb - Customer Data
Mall_Customers.csv
Generative AI
- Chat Sequence
ChatGPT_Chat_Sequence.ipynb - Structured Output
ChatGPT_Structured_Output.ipynb - News Generator
ChatGPT_News_Generator.ipynb
Other components
- Learner
Connections 22
- Learner → Python Basics 1: opens
- Learner → Python Basics 2: opens
- Learner → Python Exercise: opens
- Learner → Linear Regression: opens
- Learner → Startup Regression: opens
- Learner → Startup Data Loading: opens
- Learner → Housing Exercises: opens
- Learner → Life Expectancy Regression: opens
- Learner → Diabetes Classification: opens
- Learner → MNIST Classification: opens
- Learner → Fashion Classification: opens
- Learner → Wine Quality: opens
- Learner → Iris SVM: opens
- Learner → Clustering Lessons: opens
- Learner → Chat Sequence: opens
- Learner → Structured Output: opens
- Learner → News Generator: opens
- Startup Data Loading → Startup Data: likely loads
- Life Expectancy Regression → Life Expectancy Data: likely uses
- Diabetes Classification → Diabetes Data: likely uses
- Wine Quality → Wine Quality Data: likely uses
- Clustering Lessons → Customer Data: likely uses