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Structured archive of my AI engineering learning journey: from data science to LLM and infrastructure.
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34
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Add: Logistic Regression section with project notebooks and detailed README
f71c4f8View on GitHubAdd: Summary of Bias-Variance Trade-off with key concepts and examples
1b254baView on GitHubAdd: Completed Linear Regression section with notebooks, datasets, and detailed README
42f88adView on GitHubUpload the linear regression folder and the README in advance
c84979fView on GitHubChore: Cleaned up trailing empty input cells in notebook files
ca018e2View on GitHubChore: Add Python DS presentations for contribution activity
bb91341View on GitHubDocs: Add README summarizing Machine Learning theory and evaluation metrics
66ba001View on GitHubAdd: README for Data Capstone Projects (911 Calls & Finance)
d439542View on GitHubAdd: Initial version of personal Finance Capstone project notebook (to be documented)
566bc1aView on GitHubfeat: Complete EDA for 911 Calls Capstone Project (01)
90e52d0View on GitHubAdd: Interactive choropleth maps using Plotly and chart_studio with US/world datasets and documentation
3acaa0eView on GitHubAdd: Plotly and Cufflinks notebook with 3D surface plots and setup fix
dcbb966View on GitHub