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Learn Scikit Learn Python Package online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
18 courses
Harvard University
Learn the concepts and techniques that make up the foundation of data science and machine learning.
IBM
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
IBM
Showcase your data analysis skills to prospective employers by carrying out common tasks performed by data analysts on a data set simulating a real-life business scenario and creating a comprehensive data analysis report.
Delft University of Technology
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
University of Canterbury
Learn the core techniques of computational linguistics alongside the cognitive science that makes it all possible and the ethics we need to use it properly.
IBM
In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.
IBM
Demonstrate your machine learning expertise in this IBM Capstone course. Apply Pandas, Scikit-learn, TensorFlow/Keras, and build a real-world course recommender system. Showcase your ML skills through this comprehensive hands-on project.
IBM
En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn.
Microsoft
Build a strong foundation in artificial intelligence and machine learning. Learn core AI concepts, prepare and visualize data using Python, build regression and classification models, evaluate performance responsibly, and explore cloud-based ML using Azure.
Microsoft
Bridge the gap between theory and practice by building, auditing, and deploying ethical AI models. Master Python libraries like Scikit-learn and Pandas, ensure model fairness with Fairlearn, and package your solutions using Docker for reliable, real-world application.
Microsoft
Bridge the gap between software engineering and data science using Azure Machine Learning Studio. Master essential Python libraries like Pandas and Scikit-learn, automate data cleaning with Microsoft Data Wrangler, and track experiments with MLflow to build professional, reproducible predictive mod…
University of Maryland Baltimore County
Learn how to build supervised learning models using Python and Sklearn (Sci-Learn). This course includes the most popular supervised learning models, including K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Regression, Random Forest and Decision Trees. With Sklearn and Python all of these…
University of Maryland Baltimore County
Learn how to prepare and transform data for analysis and machine learning. The course includes techniques for data cleaning, normalization, domain reduction, and the application of various dimensionality reduction methods such as PCA and t-SNE to enhance data usability and visualization.
Universidad Galileo
Aprende cómo funcionan los algoritmos de inteligencia artificial que hacen posible los chatbos, automóviles autónomos, el reconocimiento de voz y más.
CodeSignal
Build a practical foundation in machine learning with scikit-learn, from data preprocessing to model training and evaluation. Explore regression, classification, ensembles, cross-validation, and hyperparameter tuning.
Universidad del Rosario
Domina el futuro con nuestro curso de Machine Learning : aprende desde cero los fundamentos del aprendizaje supervisado y no supervisado, entiende algoritmos clave de clasificación, regresión y clustering, y conviértete en un profesional capaz de predecir datos reales y crear soluciones innovadoras…
CodeSignal
Build practical predictive modeling skills in Python using regression techniques and common machine learning algorithms. Learn how to preprocess data, train models, evaluate performance, and improve predictions.
CodeSignal
Build practical machine learning skills with scikit-learn and TensorFlow, from data preparation and feature engineering to neural networks and model optimization.
