dansileshi/bayesian-statistics-techniques-and-models-university-of-california-santa-cruz-on-coursera

Course materials for the Bayesian Statistics: Techniques and Models - University of California, Santa Cruz MOOC on Coursera

Hi there 👋

I'm Daniel 😀, Data Scientist, with technical/research experience and interest in:

• Deep Learning
• Time series analysis
• Computer Vision
• Natural Language Processing

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Languages and Tools:

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Featured Repositories

Data Science (Tools & Knowledge)

Repo	Description	Link
LLMS	Examples that show how to apply LLMs for different use cases. Mostly in Jupyter Notebook for easy accessibility	Link
MLOps	This repository contains MLOps implementations with Microsoft Azure, providing detailed examples of Azure DevOps and Azure Machine Learning in action.	Link
Recommendation System	Production-level Implementations of Recommender systems	Link
Natural Language Processing (NLP) Examples	Full implementation examples of several Natural Language Processing methods in Python.	Link
Time series data anlaysis Examples	Full implementation examples of multiple time series data or signal analysis	Link
PySpark	PySpark functions and utilities with Real-world Data examples.	Link

Other

Repo	Description	Link
Python Projects	Python Portfolio mostly in Jupyter Notebooks by ML/DL framework (mainly using Tensorflow)	Link

How to Use These Repositories

• These repositories are like learning libraries for data science and machine learning.
• You can use the code and methods in these repositories as references for your own projects and research.

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Feel free to reach out if you have any questions or just want to connect! 😊