https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓
https://github.com/cmdecker95/learning-ml

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 2 days ago
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My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

• Host: GitHub
• URL: https://github.com/cmdecker95/learning-ml
• Owner: cmdecker95
• Created: 2023-08-10T08:25:32.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-10T10:01:31.000Z (about 1 year ago)
• Last Synced: 2024-10-11T12:49:10.715Z (26 days ago)
• Topics: jupyter-notebook, keras, machine-learning, scikit-learn, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 4.06 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Learning ML

My first foray into machine learning, comprised of Jupyter notebooks from my early undergrad years (2021-2022)

> **Note**: I've preserved these notebooks as a time capsule into my early ML engineering thought processes and coding patterns, so you can expect inconsistent and suboptimal experimentation.

## Order of Development

### Avocado Prices - Fall 2021

Uses a basic Scikit Learn KNN model and cross validation to classify avos by location based on sales 🥑

### Sequential Machine Learning - Fall 2021

Uses Tensorflow 2 with Keras to build a simple RNN to forecast FOREX time series data 💰

### Spaceship Titanic - Fall 2021

Uses PCA and an ANN to predict the interdimensional transportation of interstellar passengers 🛸

### Ships in Satellite Images - Fall 2021

Uses a CNN to detect ships in the water from satellite imagery (a fork of work from Sandrita Sarkar) 🚢

### Neural Net from Scratch - Winter 2021

Uses NumPy to build an ANN from scratch for multi-class classification on the Fashion MNIST dataset 💃🏽

### Pokemon MNIST PCA - Winter 2021

Uses PCA and transfer learning to compare what Pokemon embeddings look like in their own latent space vs the MNIST latent space 👾