What you’ll learn
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Fundamental of Machine Learning; Introduction, types of machine learning, applications
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Supervised, Unsupervised and Reinforcement learning
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Principal Component Analysis (PCA); Introduction, mathematical and graphical concepts
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Confusion matrix, Under-fitting and Over-fitting, classification and regression of machine model
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Support Vector Machine (SVM) Classifier; Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in Python
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K-Nearest Neighbors (KNN) Classifier; Introduction, k-value, Euclidean and Manhattan distances, outliers, project in Python
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Naive Bayes Classifier; Introduction, Bayes rule, project in Python
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Logistic Regression Classifier; Introduction, non-linear logistic regression, sigmoid function, project in Python
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Decision Tree Classifier; Introduction, project in Python
Who this course is for:
- Beginners of Machine learning developers curious about machine model
Can I download Machine Learning for Beginner course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Machine Learning for Beginner course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.