https://github.com/ruban2205/machine_learning_fundamentals
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
https://github.com/ruban2205/machine_learning_fundamentals
adaboost-classifier agglomerative-clustering apriori-algorithm data-preprocessing data-science ensemble-learning fuzzy-cmeans-clustering machine-learning machine-learning-algorithms machine-learning-models multilayer-perceptron python random-forest-classifier self-organizing-map single-layer-perceptron
Last synced: 6 months ago
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This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
- Host: GitHub
- URL: https://github.com/ruban2205/machine_learning_fundamentals
- Owner: Ruban2205
- License: mit
- Created: 2023-04-14T10:33:46.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-18T08:09:09.000Z (over 1 year ago)
- Last Synced: 2024-04-20T16:14:43.305Z (about 1 year ago)
- Topics: adaboost-classifier, agglomerative-clustering, apriori-algorithm, data-preprocessing, data-science, ensemble-learning, fuzzy-cmeans-clustering, machine-learning, machine-learning-algorithms, machine-learning-models, multilayer-perceptron, python, random-forest-classifier, self-organizing-map, single-layer-perceptron
- Language: Jupyter Notebook
- Homepage:
- Size: 2.6 MB
- Stars: 7
- Watchers: 2
- Forks: 0
- Open Issues: 0