Learn all about Scikit-learn by Innoware Pjp Paperback Book

Description: Learn all about Scikit-learn by Innoware Pjp Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Learn all about Scikit-learn Scikit-learn (formerly known as scikit) is a powerful open-source machine learning library in Python. It is built on top of other scientific computing libraries such as NumPy, SciPy, and Matplotlib. Scikit-learn provides a wide range of algorithms and tools for data analysis and predictive modeling. The book covers the following: 1 IntroductionIntroduce Scikit-learn and its purposeBrief history of Scikit-learnDiscuss how Scikit-learn compares to other machine learning libraries 2 Getting Started with Scikit-learnInstallation and setup of Scikit-learnBasic data manipulation with NumPy and PandasIntroduction to the Scikit-learn APIBasic model building and training with Scikit-learn 3 Supervised Learning with Scikit-learnRegression models (e.g., linear regression, polynomial regression)Classification models (e.g., logistic regression, decision trees, random forests, support vector machines)Model evaluation and selectionDealing with imbalanced dataMulti-class classificationUsing ensemble methods 4 Unsupervised Learning with Scikit-learnClustering algorithms (e.g., K-means, hierarchical clustering)Dimensionality reduction techniques (e.g., principal component analysis, t-SNE)Model evaluation and selection for unsupervised learningFeature extraction and engineering techniques 5 Deep Learning with Scikit-learnIntroduction to deep learning with Scikit-learnBuilding neural networks with Scikit-learnHyperparameter tuning with Scikit-learnTransfer learning and fine-tuning with Scikit-learn 6 Advanced Topics with Scikit-learnTime series analysis with Scikit-learnText analysis and natural language processing with Scikit-learnHandling missing data with Scikit-learnInterpretability and explainability of models with Scikit-learnTips and tricks for using Scikit-learn effectively Details ISBN-13 9798393816193 Title Learn all about Scikit-learn Author Innoware Pjp Format Paperback Year 2023 Pages 112 Publisher Independently Published GE_Item_ID:143061739; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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