PYTHON for machine learning implementation

Easycoding

A hands-on workshop on introduction to machine learning in python

<h1>Introduction to Machine Learning in Python with Scikit-Learn</h1><h3>We are delighted to announce this exciting live workshop. Please join us. </h3><h2>What is going to be covered: </h2><h3>In this workshop, we will show you step-by-step how to implement a linear regression model using Scikit-Learn Library. </h3><p> Introduction to following core machine learning libraries :  </p><h3>Pandas, Seaborn, Matplotlib and ScikitLearn Library</h3><h2>Learning Outcomes</h2><ul><li>A comprehensive introduction to machine learning</li><li>Components of ML. </li><li>Understanding Data Science/Machine Learning Methodology</li><li>Types of Machine Learning  models</li><li>Introduction Linear regression model </li><li>Use Python and ScikitLearn Library to process real datasets,  train and apply linear regression models. </li><li>How to evaluate machine learning model performance. </li></ul><p>Steps:</p><ol><li>Data  Cleaning</li><li>Data Preparation</li><li>Data Visualization </li><li>Model Selection</li><li>Model  Training and  Evaluation</li></ol><p>This event is suitable for machine learning beginners. We recommend completing any online machine learning courses.   </p><p>Please go through the following notebook to familiarise yourself  with the process</p><p>https://www.kaggle.com/dansbecker/your-first-machine-learning-model</p><p></p>

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PYTHON for machine learning implementation

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