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Text Processing And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui
PKR 15261
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This project provided a comprehensive overview of sentiment analysis using state-of-the-art machine learning models.
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What Stands Out
Product Details
| Publisher | Independently published |
| Publication date | March 12, 2022 |
| Language | English |
| Print length | 333 pages |
| ISBN-13 | 979-8431335075 |
| Item Weight | 2.11 pounds (960 grams) |
| Dimensions | 8.5 x 0.75 x 11 inches (21.6 x 1.9 x 27.9 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists who need to analyze text data and derive insights using advanced machine learning techniques.
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Business Analysts
Useful for business analysts looking to assess customer sentiments to inform marketing strategies and improve customer satisfaction.
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Developers Learning ML
Great for developers who want to learn about machine learning and deep learning frameworks in a practical, hands-on environment.
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Absolute Beginners
Not suitable for absolute beginners with no background in programming or machine learning concepts, as it may overwhelm them.
Product Description
Text Processing And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui
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PKR 15261
Order now and get it around Friday, October 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Features & Benefits
- Explore sentiment analysis with machine learning and deep learning models.
- Includes implementations for XGBoost, LightGBM, and LSTM using Python GUI.
- Learn to preprocess, build, train, and evaluate models on Twitter data.
- User-friendly features include model selection and visualization of results.
- Save time and effort by using pre-trained models and preprocessing data.
- Gain insights into key processes in natural language processing.
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