Free Certification Course Title: The Complete Intro to Machine Learning
Hands-on ML with Python, Pandas, Regression, Decision Trees, Neural Networks, and more!
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What you’ll learn:
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Learn the basics of data visualization and pre-processing (Python basics, Numpy, Pandas, Seaborn)
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Gain theoretical and practical experience with fundamental machine learning algorithms (Linear and Logistic Regression, K-NN, Decision Trees, Neural Networks)
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Understand advanced ML topics (encoding, ensemble learning techniques, etc.)
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Submit to your first Kaggle Machine Learning Competition
Requirements:
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No programming or theoretical math prerequisites. We’ll teach you everything you need to know.
Who this course is for:
- Anyone interested in machine learning, data science, and artificial intelligence. No experience required.
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Description:
Here are some of the Python libraries you’ll be using:
- Numpy (linear algebra)
- Pandas (data manipulation)
- Seaborn (data visualization)
- Scikit-learn (optimized machine learning models)
- Keras (neural networks)
- XGBoost (gradient-boosted decision trees)
Here are the most important ML models you’ll use:
- Linear Regression
- Logistic Regression
- Random Forrest Decision Trees
- Gradient-Boosted Decision Trees
- Neural Networks
This course includes:
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5 hours on-demand video
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8 downloadable resources
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Full lifetime access
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Access on mobile and TV
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How to Subscribe for The Complete Intro to Machine Learning?
- Sign Up on Udemy.com
- Subscribe Here(The Complete Intro to Machine Learning): Click Here
Apply Coupon Code: SMLCCOURSE011
**Note: Free coupon/offer may expire soon.**
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