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Packt – HTML and CSS For Beginners Build 3 Projects From Scratch

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Packt – HTML and CSS For Beginners Build 3 Projects From Scratch-XQZT
English | Size: 702.25 MB
Category: Tutorial


Learn how to build websites from scratch using the essential ingredients, HTML and CSS.
By the end of this course, you’ll have the confidence and skills to create beautiful, functional websites. This course is project-based, so you’ll be jumping right into building your first website without wasting any time. Don’t worry if you have little or no experience, the course will take you through every concept in an easy-to-understand manner, helping you learn as you build. You’ll even be able to apply what you learn to a real project and see the results instantly.
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Packt – Python A-Z Learn Python Programming By Building 5 Projects

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Packt – Python A-Z Learn Python Programming By Building 5 Projects-XQZT
English | Size: 2.01 GB
Category: Tutorial


Welcome to “Python Programming A-Z – Learn Python Programming by Building Five Projects,” a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: [Read more…]

Packt – 60 AutoCAD 2D And 3D Drawings and Practical Projects

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Packt – 60 AutoCAD 2D And 3D Drawings and Practical Projects-ZH
English | Size: 1.89 GB
Category: Tutorial


If you have a basic knowledge of AutoCAD and want to practice with real-world and hands-on AutoCAD drawings, then this course is for you. This has a huge collection of AutoCAD 2D and 3D drawings and is regularly updated with new drawings.
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Packt – Practice CSS Grid Projects to Build Modern Real World Websites Proper

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Packt – Practice CSS Grid Projects to Build Modern Real World Websites Proper-JGTiSO
English | Size: 757.11 MB
Category: Tutorial


By applying the concepts you learn in this course, you can code and design.
Here are the modules:
Module 1 – CSS Grid property – This is the foundation’s module. We’ll look at how to make an element a Grid container so that its child items can be manipulated. We’ll also look at what Grid items are and their significance. In this module, we’ll be looking into how to create grid columns and rows and how they can be used to layout the website elements in simple ways. [Read more…]

Packt – Python Machine Learning Projects

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Packt – Python Machine Learning Projects
English | Size: 599.68 MB
Category: CBTs


Machine learning gives you unimaginably powerful insights into data. Today, implementations of machine learning have been adopted throughout Industry and its concepts are numerous. This video is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. The video will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases. By the end of the course, you will have learned to apply various machine learning algorithms and will have mastered Python’s packages and libraries to facilitate computation. You will be able to implement your own machine learning models after taking this course.
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Packt – Natural Language Processing with Real World Projects

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Packt – Natural Language Processing with Real World Projects-XCODE
English | Size: 5.72 GB
Category: Tutorial


Learn

Build applications with Python, using the Natural Language Toolkit via NLP
Create your own Chatbot using NLP
Perform several Natural Language Processing tasks
Classify text and speech using the Naive Bayes Algorithm
Use various tools and algorithms to build real-world applications
About
Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support enquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. [Read more…]

Packt – Machine Learning with Real World Projects

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Packt – Machine Learning with Real World Projects-XCODE
English | Size: 7.73 GB
Category: Tutorial


Learn
Learn to create Deep Neural networks and machine learning models for complex real-world problems
Get comfortable with Deep Learning libraries like TensorFlow and Keras
Learn inner workings of Convolutional Networks and Computer Vision
Work with AlexNet, GoogleNet, and ResNet
Recurrent Neural Networks
About
Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models. [Read more…]

Packt – Deep Learning with Real World Projects

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Packt – Deep Learning with Real World Projects-XCODE
English | Size: 7.67 GB
Category: Tutorial


Learn
Learn to create Deep Neural networks and machine learning models for complex real-world problems
Get comfortable with Deep Learning libraries like TensorFlow and Keras
Learn inner workings of Convolutional Networks and Computer Vision
Work with AlexNet, GoogleNet, and ResNet
Recurrent Neural Networks
About
Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models. [Read more…]