Data Science: Natural Language Processing (NLP) in Python

Coupon Details

Data Science: Natural Language Processing (NLP) in Python, Practical Applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Created by Lazy Programmer Inc.

Preview This Course - GET COUPON CODE

What Will I Learn?

• Write your own spam detection code in Python
• Write your own sentiment analysis code in Python
• Perform latent semantic analysis or latent semantic indexing in Python
• Have an idea of how to write your own article spinner in Python

Requirements

• Install Python, it's free!
• You should be at least somewhat comfortable writing Python code
• Install numerical libraries for Python such as Numpy, Scipy, Scikit-learn, Matplotlib, and BeautifulSoup
• Take my free Numpy prerequisites course (it's FREE, no excuses!) to learn about Numpy, Matplotlib, Pandas, and Scikit-Learn, as well as Machine Learning basics
• Optional: If you want to understand the math parts, linear algebra and probability are helpful

Students also bought'

PyTorch for Deep Learning with Python Bootcamp

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

Modern Deep Learning in Python

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.

Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets