Machine Learning
Showing 1–12 of 72 results
Advanced NLP with spaCy
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
ARIMA Models in Python
Learn about ARIMA models in Python and become an expert in time series analysis.
Building Chatbots in Python
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Building Recommendation Engines in Python
Learn to build recommendation engines in Python using machine learning techniques.
Building Recommendation Engines with PySpark
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Case Study: School Budgeting with Machine Learning in Python
Learn how to build a model to automatically classify items in a school budget.
CI/CD for Machine Learning
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Cluster Analysis in Python
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Cluster Analysis in R
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
Data Privacy and Anonymization in Python
Learn to process sensitive information with privacy-preserving techniques.
Designing Machine Learning Workflows in Python
Learn to build pipelines that stand the test of time.
Developing Machine Learning Models for Production
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.