Machine Learning Free Certification: Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. It is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
This premium course will teach Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio. The details to enroll in this free course have been discussed below.
Machine Learning Free Certification:
What you’ll learn:
- Learn the basics of data visualization and pre-processing (Python basics, Numpy, Pandas, Seaborn)
- Gain theoretical and practical experience with fundamental machine learning algorithms (Linear and Logistic Regression, K-NN, Decision Trees, Neural Networks)
- Understand advanced ML topics (encoding, ensemble learning techniques, etc.)
- Submit to your first Kaggle Machine Learning Competition
Requirements:
- 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.
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:
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- Linear Regression
- Logistic Regression
- Random Forrest Decision Trees
- Gradient-Boosted Decision Trees
- Neural Networks
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This course includes:
- 5 hours on-demand video
- 8 downloadable resources
- Full lifetime access
- Access on mobile and TV
How to Enroll For Free Machine Learning Course?
To enroll for Free Machine Learning Course you may sign up on Udemy.com and then they must log in there. Kindly put the coupon code mentioned below to avail this course for free.
- Sign Up on Udemy.com
- To Join this course : Click Here
Apply Coupon Code: SMLCCOURSE122
**Note: Free coupon/offer may expire soon.**
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