NLP, natural language processing
This is a practical guide to the qualifications and skills needed to become a data scientist.
Discover based on real job postings analysis.
In this tutorial, we build a deep learning neural network model to classify the sentiment of Yelp reviews.
Following the step-by-step procedures in Python, you’ll see a real life example and learn:
– How to prepare review text data for sentiment analysis, including NLP techniques.
– How to tune the hyperparameters for the machine learning models.
– How to predict sentiment by building an LSTM model in Tensorflow Keras.
– How to evaluate model performance.
– How sample sizes impact the results compared to a pre-trained tool.
And more.
In this post, we apply machine learning algorithms on YouTube data, to make recommendation on content creation strategies. We will include the end-to-end process of:
– Scraping the YouTube data
– Using NLP on the video titles
– Feature engineering
– Building predictive decision trees
– And more
All in Python.
In this article, we present a step-by-step NLP application on Indeed job postings.
If you want to see a practical example using Natural Language Toolkit (NLTK) package with Python code, this post is for you.
with a practical online course
lectures + projects
based on real-world datasets