Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch

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Synopsis
A practical guide to machine learning with Python through the presentation and guided completion of ten real-world projectsKey FeaturesStep-by-step roadmap to data science and machine learningA Python crash course in machine learning10 machine learning and data science projects for practical studyBook DescriptionMachine Learning (ML) is the lifeblood of businesses worldwide. ML tools empower organizations to identify profitable opportunities fast and help them to better understand potential risks. The ever-expanding data, cost-effective data storage, and competitively priced powerful processing continue to drive the growth of ML. This is the best time you could enter the exciting machine learning universe. Industries are reinventing themselves constantly by developing more advanced data analysis models. These models analyze larger and more complex data than ever while delivering instantaneous and more accurate results on enormous scales. In this backdrop, it is evident that hands-on practice is everything in machine learning. Tons of theory will amount to nothing if you don't have enough hands-on practice. Textbooks and online classes mislead you into a false sense of mastery. The easy availability of learning resources tricks you and you become overconfident. But when you try to apply the theoretical concepts you have learned, you realize it's not that simple. This is where projects play a crucial role in your learning journey. Projects are doubtless the best investment of your time. You'll not only enjoy learning but you'll also make quick progress. And unlike studying boring theoretical concepts, you'll find that working on projects is easier to stay motivated. The projects in this book cover ten different interesting topics. Each project will help you refine your ML skills and apply them in the real world. These projects also present you with an opportunity to enrich your portfolio, making it simpler to find a great job, explore interesting career paths, and even negotiate a higher pay package. Overall, this learning-by-doing book will help you accomplish your machine learning career goals faster. The code bundle for this course is available at https://www.aispublishing.net/ai-sciences-bookWhat you will learnHouse price prediction using linear regressionFiltering spam email messages using Naive Bayes algorithmPredicting used car sale price using Feedforward Artificial Neural NetworksPredicting stock market trends with RNN (LSTM)Language translation using Seq2Seq encoder-decoder LSTMClassifying cats and dogs images using Convolutional Neural NetworksMovie recommender system using item-based collaborative filteringFace detection with OpenCV in PythonHandwritten English character recognition with CNNCustomer segmentation based on income and spendingWho this book is forThe scripts, images, and graphs are clear and provide visuals to the text description. If you're new to ML and self-study is your only option, then this book is a must.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781801817400
Publisher:
Packt Publishing
Date of Addition:
Copyrighted By:
Copyright AI Publishing
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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