<p>Machine learning is all the rage, and you have been tasked with creating models for your business. What looked simple on the surface quickly becomes a nightmare of messy data and non-performing models. What do you do?</p> <p>Hands-On Problem Solving for Machine Learning is packed with intuitive explanations of how machine learning works so that you can fix your models when they break. It presents a wide array of practical solutions for your machine learning pipeline, whether you are working with images, text, or numbers. You'll get a real feel for how to tackle challenges posed during regression and classification tasks.</p> <p>If you want to move past calling simple machine learning libraries, and start solving machine learning problems with real-world messy data, this course is for you!</p> <p><span id="description" class="sugar_field">All the code and supporting files for this course are available on GitHub at - <a href="https://github.com/PacktPublishing/Machine-Learning-Problems-Solved-V-" target="_new">https://github.com/PacktPublishing/Machine-Learning-Problems-Solved-V-</a></span></p> <h1>Style and Approach</h1> <p>This fast-paced, solution-focused course quickly brings you to the heart of any machine learning problem; it supplies streamlined explanations around what is wrong, how it is wrong, and what needs to be done to solve it, and also hands-on demonstrations of the solution implemented.</p>