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https://github.com/uday160386/understanding-gen-ai-ml
repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics
https://github.com/uday160386/understanding-gen-ai-ml
azure-ai cnn-classification deeplearning-ai keras-tensorflow neural-network rag supervised-machine-learning tensorflow2 unsupervised-machine-learning
Last synced: about 2 months ago
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repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics
- Host: GitHub
- URL: https://github.com/uday160386/understanding-gen-ai-ml
- Owner: uday160386
- Created: 2023-10-22T05:45:23.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-18T01:17:58.000Z (8 months ago)
- Last Synced: 2024-05-18T13:51:31.251Z (8 months ago)
- Topics: azure-ai, cnn-classification, deeplearning-ai, keras-tensorflow, neural-network, rag, supervised-machine-learning, tensorflow2, unsupervised-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 5.48 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Prerequisite
## Pre-requisite
``pip install -r requirements.txt ``
## Test data is available:
> /data_sample
#### Supervised Learning
| Model Name | Type | Code Path |
| ----------------------- | ------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| Logistic Regression | Classification | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/05_LinearRegression_Sk_learn_Demo.ipynb |
| Linear Regression | Regression | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/06_LinearRegression.ipynb |
| Decission Trees | Classification/
Regression | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/10_DecissionTree_Classifier_01.ipynb |
| Random Forest | Classification/Regression | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/11_Bagging_RandomForest_classifier.ipynb |
| K-Nearest Neighbors | Classification/Regression | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/08_KNNALgo.ipynb |
| Support Vector MAchines | Classification/ Regression | code_references/"2_ML_Programming,\ Math\ Foundations\ and\ Classical\ Algorithms"/12_SVM_Linear_example.ipynb
|
UnSupervised Learning