Data Mining for Business in Python
9 Data Mining algorithms for Supervised, Unsupervised Machine Learning and Explainable Artificial Intelligence.
Welcome to the most exciting Data Mining course in Python. I will show you the most impactful algorithms that I have witnessed in my professional career to derive meaningful insights.
In the age of endless spreadsheets, it is easy to feel overwhelmed with so much data. This is where Data Mining techniques come in. To swiftly analyze, find patterns, and deliver an outcome to you. For me, the Data Mining value added is that you stop the number crunching and pivot table creation, leaving time to come with actionable plans based on the insights.
Now, why should you enroll in the course? Let me give you four reasons.
The first is that you will learn the models’ intuition without focusing too much on the math. It is crucial that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to the bare minimum.
The second reason is the thorough course structure of the most impactful Data Mining techniques. Based on my experience, the course curriculum has the algorithms I believe to be most impactful, up-to-date, and sought after.
What you’ll learn
- Survival Analysis
- Cox Proportional Hazard Regression
- Cluster Analysis – Gaussian Mixture Model
- Association Rule Learning
- Random Forest
- Data Mining
- Principal Component Analyisis
- Manifold Learning
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