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Packtpub - Hands-on NLP with NLTK and Scikit-learn
English | Size: 716.44 MB
Category: Programming | E-learning | others

There is an overflow of text data online nowadays. As a Python developer, you need to create a new solution using Natural Language Processing for your next project. Your colleagues depend on you to monetize gigabytes of unstructured text data. What do you do?
Hands-on NLP with NLTK and scikit-learn is the answer. This course puts you right on the spot, starting off with building a spam classifier in our first video. At the end of the course, you are going to walk away with three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer. There is no need for fancy mathematical theory, just plain English explanations of core NLP concepts and how to apply those using Python libraries.Taking this course will help you to precisely create new applications with Python and NLP. You will be able to build actual solutions backed by machine learning and NLP processing models with ease.
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Category: Tutorial
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Packt - Hands-on Scikit-learn for Machine Learning [Video]
English | Size: 1.59 GB
Category: CBTs

Scikit-learn is arguably the most popular Python library for Machine Learning today. Thousands of Data Scientists and Machine Learning practitioners use it for day to day tasks throughout a Machine Learning project’s life cycle. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia.

If you’re an aspiring machine learning engineer ready to take real-world projects head-on, Hands-on Scikit-Learn for Machine Learning will walk you through the most commonly used models, libraries, and utilities offered by Scikit-learn.
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Category: Tutorial
Real-World Machine Learning Projects with Scikit-Learn
Real-World Machine Learning Projects with Scikit-Learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 498 MB
Genre: eLearning | Language: English


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Category: Tutorial
Hands-on Scikit-learn for Machine Learning
Hands-on Scikit-learn for Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 9 Hours | 1.57 GB
Genre: eLearning | Language: English


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Category: Tutorial
Hands-on NLP with NLTK and Scikit-learn
Hands-on NLP with NLTK and Scikit-learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 46M | 716 MB
Genre: eLearning | Language: English

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Category: Tutorial
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Packt Introduction to ML Classification Models using scikit-learn-XQZT
English | Size: 994.13 MB
Category: CBTs

This course will give you a fundamental understanding of machine learning with a focus on building classification models. The basic concepts of machine learning (ML) are explained, including supervised and unsupervised learning; regression and classification; and overfitting. There are three lab sections which focus on building classification models using support vector machines, decision trees, and random forests using real data sets. The implementation will be performed using the scikit-learn library for Python
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Category: Tutorial

Building Machine Learning Models in Python with scikit-learn

Building Machine Learning Models in Python with scikit-learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 13M | 398 MB
Genre: eLearning | Language: English

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Category: Tutorial

Hands-On Machine Learning with Python and Scikit-Learn

Hands-On Machine Learning with Python and Scikit-Learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 586 MB
Genre: eLearning | Language: English

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Category: Tutorial
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Packt Hands On Machine Learning with Python and Scikit Learn
English | Size: 593.80 MB
Category: CBTs

Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.
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Category: Tutorial
Fundamentals of Machine Learning with Scikit-Learn

Fundamentals of Machine Learning with scikit-learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 422 MB
Genre: eLearning | Language: English

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SitemapLegítimo Rey | 25.05.1721:52 Uhr Dirty Dancing Music (From The ABC Original Movie Event) Soundtrack256 kbit/s 0 / 08.385 Hits VID P2P DDL 0 Kommentare | IMDb: 8 20,221 S1E13 Salem - Season 1