I'm new to Python programming and - actually - it just was started in the middle of 2020 for a specific corporate purpose where I'd worked at. So, I've been learned for couple months to explore what is what about Python, and - since there's no best fit guidance about machine learning methodologies - here I summarized about 17 common algorithms I've found.
A. Supervised Learning
Split into 2 methods:
B. Unsupervised Learning
Split into 3 methods with 2 models (ML & DL):
- Machine Learning
- Principal Component Analysis
- Anomaly Detection
- Hebbian Learning
- Deep Learning
- Generative Models
- Generative Adversarial Network
- Self Organizing Maps
I wrapped this post on a video I published in Youtube:
Thank you for your reading & subs. I'll update this post as soon as I found any of new algorithms.
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