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1. JNCLectures_Intro_to_ML JNCLectures_Intro_to_ML Public

   This repository contains the lecture notes, slides and hands-on notebooks prepared for a semester-long course on "Introduction to machine learning".

   Jupyter Notebook 11 1

2. DataCentricAI_model_retraining DataCentricAI_model_retraining Public

   How do you effectively choose minimum data needed to retrain your model

   Jupyter Notebook 1

3. Data_Augmentation_LLM Data_Augmentation_LLM Public

   This project shows how to do error analysis and generate synthetic data through LLM to improve your model

   Jupyter Notebook 1

4. Issues_with_SMOTE Issues_with_SMOTE Public

   In this project we show with a hands-on case study, why over-sampling techniques like SMOTE should be used with caution.

   Jupyter Notebook

5. Cost_Sensitive_Learning Cost_Sensitive_Learning Public

   How do you optmize your model to reduce the real-world cost of misclassification (in dollars)?

   Jupyter Notebook

6. StructuralTFIDF StructuralTFIDF Public

   A modified tf-idf to handle nuances of bills, receipts or invoice data

   Python