Collection of my writing and inspiration in ML and Software Engineering in Python

A curated list of my writing and inspiration in Machine Learning and Software Engineering

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List of Articles i wrote for various publications. Code available in the Notebook File in this repository

• You can visualize amazing plots using Matplotlib and Seaborn

• Your Tensorflow Pocket References on Image Data Task

• You can get a better Accuracy when carrying out transfer learning in your Image Data Classification Problem

• Interpreting black box models using Shapley Additive exPlanations

• How to Interpret Black Box Models using LIME (Local Interpretable Model-Agnostic Explanations)