What you’ll learn
-
Applications of Machine Learning to various data, Unsupervised Learning, Supervised Learning
The course contents are given below:
- Introduction to Machine Learning
- Introductions to Deep Learning
- Installations
- Unsupervised Learning
- Clustering, Association
- Agglomerative, Hands-on
- DBSCAN, Hands-on
- Mean Shift, Hands-on
- K Means, Hands-on
- Association Rules, Hands-on
- (PCA: Principal Component Analysis)
- Supervised Learning
- Regression, Classification
- Train Test Split, Hands-on
- k Nearest Neighbors, Hands-on
- kNN Algo Implementation
- Support Vector Machine (SVM), Hands-on
- Support Vector Regression (SVR), Hands-on
- SVM (non linear svm params), Hands-on
- SVM kernel trick, Hands-on
- SVM mathematics
- Linear Regression, Hands-on
- Gradient Descent overview
- One Hot Encoding (Dummy vars)
- One Hot Encoding with Linear Regr, Hands-on
- Info about Datasets
Who this course is for:
- python programmers, C/C++ programmers, working of scripting (like javascript), fresh developers and intermediate level programmers who want to learn Machine Learning
Can I download Machine Learning with Python: SVM,Kmeans,KNN,LinReg,PCA,DBS 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 with Python: SVM,Kmeans,KNN,LinReg,PCA,DBS 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.