Machine Learning
Showing 13–24 of 116 results
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 and Programming Foundations for AI
Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.
Data Privacy and Anonymization in Python
Learn to process sensitive information with privacy-preserving techniques.
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.
Data Scientist: Machine Learning Specialist
Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.
Data Scientist: Natural Language Processing Specialist
NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.
Deep Learning with TensorFlow: Classification
Build deep learning models to classify data.
Deep Learning with TensorFlow: Image Classification
Classify image data with deep learning.