Coding Languages

Name: Coding Languages | Angular With Typescript, Machine Learning With Python And React Javascript
Brand: Pastor Publishing Ltd
Price: 5.49 EUR
Availability: OnlineOnly

Angular With Typescript, Machine Learning With Python And React Javascript

Richie Miller(Author)

Pastor Publishing Ltd

1st Edition

Published on 3. February 2023

250 pages

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ePUB with Adobe-DRM

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978-1-83938-209-3 (ISBN)

€5.49incl. 7% vat

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for ePUB with Adobe-DRM

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Content

Intro
Introduction
Chapter 1 TypeScript, Code Editor & npm Installation
Chapter 2 How to Setup and Run Angular Application
Chapter 3 How to Create an Angular Application Using Angular CLI
Chapter 4 How to Define the Metadata with a Decorator
Chapter 5 How to Create the App Component
Chapter 6 How to Bootstrap App Component
Chapter 7 How to Build Template & Component
Chapter 8 How to Bind with Interpolation
Chapter 9 How to Add Logic with Directives: ngIf
Chapter 10 How to Build Property Binding
Chapter 11 How to Handle Events with Event Binding
Chapter 12 How to Handle Input with Two-way Binding
Chapter 13 How to Transform Data with Pipes
Chapter 14 How to Define Interfaces
Chapter 15 How to Encapsulate Component Styles
Chapter 16 How to Build Custom Pipes
Chapter 17 Filtering and Arrow Functions
Chapter 18 How to Build Nested Components
Chapter 19 How to Build Services
Chapter 20 How to Register the Service
Chapter 21 Observables and Reactive Extensions
Chapter 22 How to Use Observable
Chapter 23 How to Setup an HTTP Request
Chapter 24 Exception Handling
Chapter 25 How to Subscribe to an Observable
Introduction
Chapter 1 Platforms and Libraries
Chapter 2 Regression & Linear Regression
Chapter 3 Polynomial Regression & Lasso Regression
Chapter 4 Ridge Regression & Perceptron Regression
Chapter 5 Classification Algorithms & Logistic Regression
Chapter 6 Naive Bayes & Support Vector Machines
Chapter 7 K Nearest Neighbors
Chapter 8 Decision Trees and Random Forests
Chapter 9 Neural Networks
Chapter 10 Convolutional Neural Networks
Chapter 11 Dimensionality Reduction & Linear Discriminant Analysis
Chapter 12 T Distributed Stochastic Neighbor Embedding
Chapter 13 Clustering Algorithms & K Means
Chapter 14 Gaussian Mixtures & Hierarchical Clustering
Chapter 15 Affinity Propagation & Other Machine Learning Algorithms
Introduction
Chapter 1 How to Steal Data with Cross-site Scripting Attacks
Chapter 2 Cross-site Scripting Sinks
Chapter 3 How to use Automatic Escaping
Chapter 4 Safely Rendering URLs
Chapter 5 Safe Dynamic Content Rendering
Chapter 6 Sanitization with DOMPurify
Chapter 7 Risks of Direct DOM Manipulation Using Refs
Chapter 8 Dynamic Parsing of React Components
Chapter 9 Preventing Code Injection through JSON Data
Chapter 10 Stored and Reflected Cross-site Scripting
Chapter 11 Sanitization of JSON Data
Conclusion
About Richie Miller

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Coding Languages

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