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Free Download Udemy Advanced Classification Analysis With Python By Spotle. With the help of this course you can This Spotle bootcamp by industry and academic leaders is designed for people who want to build careers in data science.
This course was created by . It was rated 0 out of 5 by approx 0 ratings. There are approx 0 users enrolled with this course, so don’t wait to download yours now. This course also includes 183 mins on-demand video, Full lifetime access, Access on mobile and TV & Certificate of Completion.
What will I need?
- You will need to have a computer or a mobile handset with an internet connection
Is this course right for me?
- Anyone with an interest in a rewarding career in Data Science
What am I going to learn?
- Supervised Learning
- Classification Analysis
- Decision Tree
- Decision Tree In Python
- Regression Tree
- Regression Tree In Python
- Discriminant Analysis
- Nau00efve Bayes Classifier
- Support Vector Machines
- Support Vector Machines In Python
- k-Nearest Neighbor
Data science and Python have become key industry drivers in the global job and opportunity market. This course with mix of lectures from industry experts and Ivy League academics will help students, recent graduates and young professionals learn classification analysis and its applications in business scenarios using Python programming language.
In this course you will learn:
1. Supervised and unsupervised learning
2. The difference between supervised and unsupervised learning
3. Decision Tree With Python
4. Regression Tree With Python
5. Discriminant Analysis
6. Naïve Bayes Classifier
7. Support Vector Machines With Python
8. k-Nearest Neighbor
So, what is supervised learning?
Let’s say I have labeled fruits and I kept them in separate baskets. So you have separate baskets for yellow banana, golden pineapple, black grapes and so on. Now if I give you a golden pineapple you know exactly what it is and in which basket you need to keep it. So, I am helping you classify fruits by previously labeled and classified fruits.
What essentially is happening here is helping you learn about fruits which are already labeled. You know the characteristics and labels based on which they are separated into different baskets. The labeled fruits help you train your brain about their respective correct baskets. Now, for each new fruit you can put them into its respective basket. When machines learn in this way this is called supervised learning. Supervised learning is a learning in which we teach or train the machine using data which are properly or rather correctly labeled.
Free Download Udemy’s Advanced Classification Analysis With Python By Spotle
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