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Refactor code structure for improved readability and maintainability
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@@ -31,6 +31,7 @@ The projects are organized into two main sections:
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- `M2`
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- `Data Visualisation`
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- `Deep Learning`
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- `Generative AI`
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- `Linear Models`
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- `Machine Learning`
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- `Reinforcement Learning`
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@@ -58,4 +59,5 @@ The projects are organized into two main sections:
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- [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA).
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- [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R.
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- [RShiny](https://shiny.rstudio.com): A web application framework for building interactive web apps directly from R.
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- [LangChain](https://langchain.com): A framework for developing applications powered by language models.
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- and my 🧠.
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