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Comprehensive Guide to Machine Learning with Python
COURSE OVERVIEW
This course provides a thorough introduction to machine learning using Python, guiding learners through fundamental concepts, popular algorithms, and practical implementations. Participants will learn data preprocessing, visualization, supervised and unsupervised learning techniques, and advanced topics like neural networks and model deployment. The course is designed for beginners and intermediate learners interested in building their knowledge and skills in machine learning.
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Comprehensive Guide to Machine Learning with Python
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What will you learn?
This module introduces the basics of machine learning, setting up the Python environment, and preparing data for analysis.
4 Videos | 26 min
Video • 6 min
Video • 7 min
Dive into essential Python libraries like Numpy and Pandas, which are critical for data manipulation and analysis in machine learning.
2 Videos | 13 min
Learn about different types of learning techniques, including supervised and unsupervised algorithms. Explore their use cases and implementation in Python.
2 Videos | 13 min
Understand how to build, train, and evaluate models using various methods and metrics to ensure their accuracy and reliability.
2 Videos | 17 min
This module focuses on the most common supervised learning algorithms such as linear regression, logistic regression, decision trees, and more.
5 Videos | 34 min
Explore unsupervised learning methods like clustering and PCA to identify patterns and reduce dimensionality in datasets.
2 Videos | 16 min
Get acquainted with Scikit-Learn, a powerful library for implementing machine learning models efficiently.
1 Video | 8 min
Learn how to fine-tune machine learning models through cross-validation and hyperparameter tuning to optimize performance.
2 Videos | 15 min
This module introduces neural networks and deep learning frameworks such as TensorFlow and PyTorch, offering insights into building neural network models.
3 Videos | 23 min
Cover advanced concepts such as time series analysis and model deployment, which are essential for real-world applications.
2 Videos | 12 min
Final assessment
Comprehensive Guide to Machine Learning with Python Final Assessment
Ways to take this course
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What's Included
Videos + Resources
Assessment
One project
Community
Job fair
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Paid Internship Promise or Money Refund
Everything included in Beginner’s
Weekly Sessions
Multiple projects
Resume Review
Industry Projects
Preference in Job fair
Frequently asked questions
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