Machine Learning Experiments

  • Concept to Code: Building Blocks of ML Script

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    In last post we created a setup for Machine learning project and in this part we move on with writing code- importing model from library and configuring hyperparameters for the same Configuring a Scikit-learn Model for Training In the script, we are creating multiple models- random_forest, xgboost & lightgbm, each one of these can address…

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  • Concepts to Code: Setup for ML Projects on Ubuntu

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    Believe it or not, the latest chipset model from NVIDIA is not essential to start doing projects on machine learning. one can run the scripts that train the ML model on a 16GB RAM laptop running Ubuntu LTS without any additional hardware. (no harm if you do have ml processors- it makes the training quicker…

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  • Concepts to Code: Using ML as Developers- Prerequisites

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    Even though I think I understand the general concepts of machine learning(I also believe in dreamcatchers and monarchy), I often struggle to put theory into practice. These posts document my journey of learning ML through hands-on implementation. As a complete newbie to machine learning practice, I will start with an idea and then, step by…

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