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Explore the realms of machine learning and deep learning. Build and evaluate classification and regression models, and understand clustering techniques and neural networks.
Explore machine learning and deep learning in this course. Master supervised learning with classification and regression models, and delve into unsupervised learning with clustering. Gain practical experience in neural networks using PyTorch and TensorFlow. This course provides the skills needed to excel in the evolving world of machine learning.
Proficiency in Python programming.
Basic understanding of statistics and linear algebra.
Familiarity with data manipulation using Pandas and Numpy.
Understand the fundamentals of supervised and unsupervised learning.
Build and evaluate classification and regression models.
Explore clustering techniques and their real-world applications.
Create neural networks using PyTorch or TensorFlow.
3.1 Supervised Learning: Classification and Regression Models
Understanding Supervised Learning
Building Classification Models
Regression Analysis and Prediction
Model Evaluation and Validation
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3.2 Unsupervised Learning: Clustering Techniques
Introduction to Unsupervised Learning
K-Means Clustering and Hierarchical Clustering
Dimensionality Reduction Techniques
Real-world Applications of Clustering
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3.3 Deep Learning with PyTorch/TensorFlow
Basics of Neural Networks
Introduction to PyTorch and TensorFlow
Building and Training Deep Learning Models
Convolutional and Recurrent Neural Networks
Q: Is prior machine learning knowledge required for this course?
A: No, the course will cover machine learning fundamentals from the ground up.
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Q: Will the course include deep learning frameworks?
A: Yes, the course introduces deep learning frameworks like PyTorch and TensorFlow.
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Q: Are there any real-world machine learning projects included?
A: Yes, the course includes practical projects to apply machine learning concepts.
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Q: What are the prerequisites for this course?
A: A good understanding of Python and basic knowledge of statistics and linear algebra are required.
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Q: How will this course help in my career?
A: It will equip you with the skills to develop machine learning models, a highly sought-after competency in many industries.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.