<h2><span>Ready to add Machine Learning to your skill stack?</span></h2><span><br>As the second title in the </span><span>Machine Learning From Scratch</span><span> series, this book teaches you </span><span><u>how to code</u></span><span> machine learning models in Python.<br><br></span><span>By wo
Practical Machine Learning with Python
β Scribed by Dipanjan Sarkar, Raghav Bali, Tushar Sharma
- Publisher
- Apress
- Year
- 2018
- Tongue
- English
- Leaves
- 538
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This book implements many common Machine Learning algorithms in equivalent R and Python. The book touches on R and Python implementations of different regression models, classification algorithms including logistic regression, KNN classification, SVMs, b-splines, random forest, boosting etc. Other t
<p><b>Teach your machine to think for itself!</b><p><b>Key Features</b><p><li>Delve into supervised learning and grasp how a machine learns from data<li>Implement popular machine learning algorithms from scratch, developing a deep understanding along the way<li>Explore some of the most popular scien
Unlock your potential as an AI and ML professional! This book covers basic to advanced level topics required to master the Machine Learning concepts. There are lot of programs implemented which goes with the explaination - thats why we call it Learn and Practice. Book uses Scikit-learn (formerly sci
Providing code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals. --
<span>Develop and Implement your own Machine Learning Models to solve real-world problemsKey Featuresβ’ Introduction to Machine Learning, Python and Jupyterβ’ Learn about Feature Engineering and Data Visualization using real-world data setsβ’ Learn various regression and classification techniquesβ’ Deep