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1. Data_Visualization_AEMC Data_Visualization_AEMC Public

   This project was done as a part of the capstone course DATA3001 Data Science and Decisions. The main focus is exploring how we can use R Shiny to create interactive data visualisations for the AEMC.

   R

2. Gradient_Based_Optimization Gradient_Based_Optimization Public

   Exploring gradient descent and steepest descent without using any existing implementations of gradient methods. How we can use JAX to compute the gradient of the loss function at each step.

   Python

3. Regularized_Logistic_Regression_and_the_Bootstrap Regularized_Logistic_Regression_and_the_Bootstrap Public

   Regularised Logistic Regression and how we can use Cross Validation for hyper parameter tuning. How we can use Non-Parametric Bootstrap to build Confidence Intervals to help us determine which coef…

   Python 1 1

4. LASSO_and_Ridge_Regression LASSO_and_Ridge_Regression Public

   LASSO, Ridge Regression and how we can use Leave One Out Cross Validation (LOOCV) to evaluate the performance of these models.

   Python 1

5. BlogFeedback_CaseStudy BlogFeedback_CaseStudy Public

   Conduct analysis on a given dataset using python and prepare a communication outlining your findings and recommendations

   Jupyter Notebook

6. storytelling_with_data storytelling_with_data Public

   Storytelling with data - Cole nussbaumer Knaflic