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Data science blogs & guides in python and R. The contents covers wide range of topics like MLOps, automation, simulations, visualizations, machine learning models and more..

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  1. How To Evaluate The Business Value Of a Machine Learning Model: Learn how to assess the business value of a ML model and explain the same without technical/ statistical jargons.

  2. Monte Carlo Simulation For Pipe Failure In Python: Learn how to simulate values from given distribution and iteration multiple times to generate probability of pipe failure and visualize the results.

  3. ML Pipelines | Tidy Models Vs Scikit Learn: Explore how to build machine learning pipelines in both R (Tidymodels) and python(Scikit learn). This is a step by step guide for each stage of building a ML model.

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Data science blogs & guides in python and R. The contents covers wide range of topics like MLOps, automation, simulations, visualizations, machine learning models and more..

License:MIT License

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Language:Python 81.7%Language:Jupyter Notebook 11.9%Language:R 6.5%