Top Courses on Machine Learning
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Learn more about Python and Machine Learning
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Learn to build recommendation engines in Python using machine learning techniques.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
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A Guide to Docker Certification: Exploring The Docker Certified Associate (DCA) Exam
Unlock your potential in Docker and data science with our comprehensive guide. Explore Docker certifications, learning paths, and practical tips.
Functional Programming vs Object-Oriented Programming in Data Analysis
Explore two of the most commonly used programming paradigms in data science: object-oriented programming and functional programming.
Loss Functions in Machine Learning Explained
Explore the crucial role of loss functions in machine learning with our comprehensive guide. Understand the difference between loss and cost functions, delve into various types like MSE and MAE, and learn their applications in ML tasks.
A Comprehensive Introduction to Anomaly Detection
A tutorial on mastering the fundamentals of anomaly detection - the concepts, terminology, and code.
What is A Confusion Matrix in Machine Learning? The Model Evaluation Tool Explained
A beginner's tutorial to learning about the Confusion Matrix in machine learning.
Nisha Arya Ahmed
Pandas Profiling (ydata-profiling) in Python: A Guide for Beginners
Learn how to use the ydata-profiling library in Python to generate detailed reports for datasets with many features.