Open Issues Need Help
View All on GitHubMy personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
AI Summary: This issue proposes creating a new `resources/` folder within the `regression/polynomial-regression/` directory. Its purpose is to house various learning materials like infographics, slide decks, and mind maps, separate from the code and datasets. This aims to enhance the beginner learning experience by providing dedicated space for explanatory content.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
AI Summary: This issue aims to centralize dataset loading in the `linear-regression` project by introducing a `config.py` file. It requires adding utilities to `config.py` to manage dataset paths using `Pathlib` for OS-safe paths, and then updating at least one notebook to utilize this new configuration method for loading CSV files.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.
AI Summary: This issue aims to restructure the `linear-regression` folder by separating datasets and notebooks into dedicated directories. It involves creating a `config.py` file, a `practiceDatasets/` folder for CSV files, and a `practiceExercise/` folder for Jupyter notebooks, then moving existing files accordingly.
My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.