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Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process.
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Hands-On: Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers.
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Introduction to Machine Learning
Machine learning encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of machine learning. The tendency, however, is to focus primarily on the technology rather than the process.
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Supervised Machine Learning with Python
Enroll in this new 7-week course to learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive analytics.
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Hands-On Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers.
more
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Hands-On: Machine Learning with Python
Python is one of the most popular languages used in machine learning, data science, and predictive analytics. In this hands-on course, you will how to use Python, scikit-learn, and lightgbm to create regression and decision tree models. You will leave with complete code examples that you can use and build on in your own work.
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Hands-On: Machine Learning with TensorFlow
Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks.
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Supervised Machine Learning: Preparing Data and Deploying Analytic Models for Classification and Prediction
Regression, decision trees, neural networks—along with many other supervised learning techniques—provide powerful predictive insights. These data-driven insights inform the forces shaping your organization’s outcomes.
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Unsupervised Machine Learning: Preparing Data and Deploying Analytic Models for Clustering and Association
One of the striking things about machine learning is the wealth of techniques and algorithms available for modeling. There is seemingly a solution for every class of problem. It is easy to forget that data preparation is just as diverse. Each class of problem has a different optimal data structure associated with it.
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Predictive Modeling with Ensembles and XAI: Advanced Techniques for Deeper Insights
Join us for a problem-focused, applied experience where you learn to apply the analytics process to produce meaningful and valuable insights.
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