GitHub - kernelshreyak/ai-ml-learning: Notebooks and other code for my personal hands-on learning of AI & ML

AI ML Learning

This repo contains notebooks for a variety of AI & ML topics and models

Setup virual environment (only needs to be done once)
```
python3 -m venv venv
```
Switch to the virtual environment
```
source venv/bin/activate
```
Install dependencies
```
pip install -r requirements.txt
```
Install Jupyter extension in VSCode https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter

After completing above steps, any of the notebooks can be run like usual

This folder contains notebooks which I used for testing during my learning for AI-900 and DP-900 courses from Microsoft

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
azure-ai-learning		azure-ai-learning
datascience		datascience
deep-learning		deep-learning
language-models		language-models
ml-specialization-course @ 1a6b6fc		ml-specialization-course @ 1a6b6fc
multi-agent-llm		multi-agent-llm
object-detection		object-detection
realtime-cv-web		realtime-cv-web
sample_datasets		sample_datasets
time-series-forecasting		time-series-forecasting
.gitignore		.gitignore
.gitmodules		.gitmodules
Learning_stable_diffusion.ipynb		Learning_stable_diffusion.ipynb
bengali-speech-recognition.ipynb		bengali-speech-recognition.ipynb
computer-vision-learning.ipynb		computer-vision-learning.ipynb
convolution_test.ipynb		convolution_test.ipynb
cv-test.ipynb		cv-test.ipynb
detect-sleep-states.ipynb		detect-sleep-states.ipynb
house-rent-prediction.ipynb		house-rent-prediction.ipynb
langchain-test.ipynb		langchain-test.ipynb
mnist-classifier.ipynb		mnist-classifier.ipynb
neuralnet-test.ipynb		neuralnet-test.ipynb
nlp_learning.ipynb		nlp_learning.ipynb
oldreq.txt		oldreq.txt
pose-detection-realtime.py		pose-detection-realtime.py
random-forest.ipynb		random-forest.ipynb
readme.md		readme.md
regularized-regression-linear.py		regularized-regression-linear.py
requirements.txt		requirements.txt
sample.ipynb		sample.ipynb
semantic-segmentation.py		semantic-segmentation.py
svm-test.ipynb		svm-test.ipynb