Hey there, future ML wizard! Ready to unlock the secrets of machine learning? Our 'Machine Learning' path is crafted just for you, whether you're a complete beginner or looking to solidify your foundations. We've packed it with interactive, hands-on labs designed to get you building and deploying models fast. Forget dry theory; we're all about practical skills here. Let's dive into some must-try labs that will kickstart your journey and boost your ML expertise!
Supervised Learning with Scikit-Learn
Difficulty: Beginner | Time: 15 minutes
In supervised learning, we want to learn the relationship between two datasets: the observed data X and an external variable y that we want to predict.
Practice on LabEx → | Tutorial →
Discriminant Analysis Classifiers Explained
Difficulty: Intermediate | Time: 28 minutes
Linear and Quadratic Discriminant Analysis (LDA and QDA) are two classic classifiers used in machine learning. LDA uses a linear decision surface, while QDA uses a quadratic decision surface. These classifiers are popular because they have closed-form solutions, work well in practice, and have no hyperparameters to tune.
Practice on LabEx → | Tutorial →
Pandas Series Bfill Method
Difficulty: Beginner | Time: 20 minutes
In this lab, we will learn about the Python Pandas Series bfill() method. This method is used to fill missing values or null values in a pandas Series backward. It returns a new Series with the missing values filled, or None if the inplace parameter is set to True.
Practice on LabEx → | Tutorial →
Exploring Scikit-Learn Datasets and Estimators
Difficulty: Beginner | Time: 30 minutes
In this lab, we will explore the setting and the estimator object in scikit-learn, a popular machine learning library in Python. We will learn about datasets, which are represented as 2D arrays, and how to preprocess them for scikit-learn. We will also explore the concept of estimator objects, which are used to learn from data and make predictions.
Practice on LabEx → | Tutorial →
Ready to dive in? These labs are your gateway to mastering machine learning. Start building, predicting, and transforming data today. Your ML journey begins now!
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