Chuyên gia Khoa học Học máy trong Python

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

Hiểu rõ khái niệm giảm chiều trong dữ liệu của bạn và thành thạo các kỹ thuật để thực hiện điều đó trong Python.

Learn how to clean and prepare your data for machine learning!

This course focuses on feature engineering and machine learning for time series data.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.