https://github.com/crispengari/ml-2023
💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.
https://github.com/crispengari/ml-2023
classification clustering-algorithm decision-tree-classifier kmeans-clustering knn-classifier python random-forest-classifier sklearn supervised-machine-learning svm-classifier unsupervised-machine-learning
Last synced: 8 months ago
JSON representation
💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.
- Host: GitHub
- URL: https://github.com/crispengari/ml-2023
- Owner: CrispenGari
- License: mit
- Created: 2023-11-06T08:08:14.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-24T07:23:52.000Z (11 months ago)
- Last Synced: 2025-03-27T17:02:42.309Z (8 months ago)
- Topics: classification, clustering-algorithm, decision-tree-classifier, kmeans-clustering, knn-classifier, python, random-forest-classifier, sklearn, supervised-machine-learning, svm-classifier, unsupervised-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 14.8 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### ml-2023
💹📉📊📈This repository contains some machine leaning task that I did in the year of `2023`.
1. [`00_LOADSHEDDING_IMPACT`](/00_LOADSHEDDING_IMPACT/README.md) - a predictive machine learning task using supervised and unsupervised clustering in predicting the effects of loadshedding to university students in south africa.
2. [`01_NSFAS_RS`](/01_NSFAS_RS/README.md)- a binary classification model using unsupervised machine leaning algorithm for label clustering and machine learning classification algorithm to classify the eligibility of a student to qualify for funding.
3. [`02_CUSTOMER_SEGMENTATION`](/02_CUSTOMER_SEGMENTATION/00_CUSTOMER_SEGMENTATION.ipynb)- Customer segmentation using unsupervised machine learning clustering.
4. [`03_IMAGE_ROI_CLUSTERING`](/03_IMAGE_ROI_CLUSTERING/IMAGE_ROI.ipynb)- Clustering of images by extracting ` Region of Interest`` from images.
This repository is using the `MIT` License which reads as follows:
```shell
MIT License
Copyright (c) 2023 crispengari
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```