What you’ll learn
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Complete understanding of Machine Learning Project flow
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Machine Learning Practical Applications
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Machine Learning for Regression Problems
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Machine Learning for Classification Problems
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Clustering with Machine Learning
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NLP with Machine Learning
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Improving the performance of a machine learning model
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Predicting a single observation
List of the Projects that you will work on,
Project 1: Breast Cancer Detection
Project 2: Customer churn rate prediction
Project 3: Medical insurance premium prediction
Project 4: House price prediction
Project 5: E signing of customers based on financial data
Project 6: Credit card fraud detection
Project 7: Employee Attrition Prediction
Project 8: Customer Segmentation
Project 9: Used Car Price Prediction
Project 10: Restaurant Reviews Classification
Who this course is for:
- Anyone who wants to learn Machine Learning project building
- Students and Professionals who want to start a career in Data Science and Machine Learning
Can I download Machine Learning Projects for Beginners: Work on 10 Projects 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 Projects for Beginners: Work on 10 Projects 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
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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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.