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1 | | -# Natural-Language-Processing-Fundamentals-eLearning |
2 | | -Build intelligent applications that can interpret the human language to deliver impactful results |
| 1 | +[](https://github.com/TrainingByPackt/Natural-Language-Processing-Fundamentals-eLearning/issues) |
| 2 | +[](https://github.com/TrainingByPackt/Natural-Language-Processing-Fundamentals-eLearning/network) |
| 3 | +[](https://github.com/TrainingByPackt/Natural-Language-Processing-Fundamentals-eLearning/stargazers) |
| 4 | +[](https://github.com/TrainingByPackt/Natural-Language-Processing-Fundamentals-eLearning/pulls) |
| 5 | + |
| 6 | + |
| 7 | +# Natural Language Processing Fundamentals [eLearning] |
| 8 | +Natural Language Processing Fundamentals starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text. |
| 9 | + |
| 10 | +## What you will learn |
| 11 | +* Obtain, verify, and clean data before transforming it into a correct format for use |
| 12 | +* Perform data analysis and machine learning tasks using Python |
| 13 | +* Understand the basics of computational linguistics |
| 14 | +* Build models for general natural language processing tasks |
| 15 | +* Evaluate the performance of a model with the right metrics |
| 16 | +* Visualize, quantify, and perform exploratory analysis from any text data |
| 17 | + |
| 18 | +### Hardware requirements |
| 19 | +For an optimal learning experience, we recommend the following hardware configuration: |
| 20 | +* Processor: Dual Core or better |
| 21 | +* Memory: 4GB RAM |
| 22 | +* Storage: 10 GB available space |
| 23 | + |
| 24 | +### Software requirements |
| 25 | +You must also install in advance the following software: |
| 26 | +Any of the following operating systems: |
| 27 | +* Windows 7 SP1 32/64-bit, |
| 28 | +* Windows 8.1 32/64-bit or Windows 10 32/64-bit |
| 29 | +* Ubuntu 14.04 or later |
| 30 | +* macOS Sierra or later |
| 31 | +* Browser: Google Chrome or Mozilla Firefox |
| 32 | +* Conda |
| 33 | +* Jupyterlab |
| 34 | +* Python 3.x |
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