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Scikit Learn
Scikit-learn is a free and open-source machine learning library for Python. It provides simple and efficient tools for data mining and data analysis, and is built on top of popular libraries such as NumPy, Pandas, and Matplotlib. Scikit-learn is designed to be accessible to everybody and reusable in various contexts, encouraging academic and commercial use. The library provides a wide range of algorithms for classification, regression, clustering, dimensionality reduction, and model selection, and it also includes tools for feature extraction and preprocessing. Scikit-learn is widely used in the field of machine learning and has a large and active community of contributors and users. It is well documented, with a user-friendly API and clear examples making it a great choice for both beginners and experienced practitioners.
Our Scikit-learn courses are educational programs designed to teach individuals the skills and knowledge needed to work with the Scikit-learn library for machine learning and data analysis. These courses typically cover the fundamentals of machine learning and data analysis, including topics such as supervised and unsupervised learning, regression, classification, and clustering. They also cover the specific features and functionality of Scikit-learn, such as its tools for feature extraction, model selection, and evaluation.
Our Scikit-learn courses are designed for a range of skill levels, from beginner to advanced, and are often tailored for individuals with a background in computer science or programming. They may be offered online or in-person, and can range from short tutorials to comprehensive programs that provide hands-on experience building and deploying machine learning models.
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WSQ - Basic Machine Learning with ScikitLearn Course
Step into the transformative world of machine learning with our WSQ-endorsed Basic Machine Learning with Scikit-Learn Course. Designed to provide you with a solid foundation, this course focuses on key ML algorithms and data processing techniques using the Scikit-Learn library. Through hands-on projects and practical exercises, you'll learn how to train models, make predictions, and validate results, gaining the skil....$750.00 (GST-exclusive)$817.50 (GST-inclusive) -
Python Machine Learning with Scikit-Learn Training
Enter the dynamic realm of machine learning with our specialized Python training module using Scikit-Learn at Tertiary Courses. From understanding the core differences between supervised and unsupervised learning to hands-on engagements with classification model analysis, our curriculum promises in-depth exploration. F1 Score and AUC metrics ensure that participants gain key insights into the accuracy and performance....$298.00 (GST-exclusive)$324.82 (GST-inclusive) -
Advanced Scikit Learn Training
Elevate your skills in machine learning with our Advanced Scikit Learn Training at Tertiary Courses. Our comprehensive curriculum ensures participants delve deep into the nuances of Feature Engineering, offering a strong foundation to construct impactful machine learning models. The synergy of Pipelines and Cross Validation techniques introduced will further streamline workflows, enabling the creation of more efficie....$298.00 (GST-exclusive)$324.82 (GST-inclusive) -
5 Days Machine Learning Specialization
This Machine Learning Specialization introduces you to the exciting, high-demand field of Machine Learning. Through a series of hand on practical exercises, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, Computer Vision and Deep Learning. You will learn to analyze data and build intelligent applications that can make predictions from d....$1,500.00 (GST-exclusive)$1,635.00 (GST-inclusive)
