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Being able to tell a story with your data is a key skill for a data scientist, and a big part of that is being able to make good visualizations....
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8 Lessons
Free
Data loading, storage, and file formats encompass the processes and methods for accessing, storing, and handling data in various formats within a computing environment. This involves techniques for reading data...
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7 Lessons
Free
Explore linear regression models in machine learning with our module. Covering fundamentals, model types (simple, multiple, polynomial), evaluation metrics (MAE, RMSE, correlation coefficient), optimization algorithms (batch, stochastic gradient descent), and...
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11 Lessons
Free
Discover the power of A/B testing, a dynamic method for refining strategies and enhancing user experiences. Online Experimentation And A/B Testing offers a deep dive into this invaluable technique. From...
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7 Lessons
Free
In this course you’ll explore techniques for extracting insights from unstructured text data and foundational concepts and applications of text analytics across various industries. Delve deep into the theory and...
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8 Lessons
Free
Regularization and tuning of linear models are techniques used to improve the performance and generalization of linear regression models. Regularization methods such as L1 (Lasso) and L2 (Ridge) regularization are...
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9 Lessons
Free
Decision tree learning is a machine learning technique used for both classification and regression tasks. It involves constructing a tree-like structure where internal nodes represent feature attributes, branches represent decision...
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10 Lessons
Free
Course Categories
- Data Science Bootcamp (26)
- Large Language Models (14)
- Python Essentials Series (24)