Course Teacher: Code Warriors, Anup Mor, Gaurav Sharma
Language: English
Description:
within the area of Machine Studying? Then this course is for you!
This course has been designed by Code Warriors the ML Fans in order that we will share our data and show you how to be taught complicated theories, algorithms, and coding libraries in a easy manner.
We’ll stroll you step-by-step into the World of Machine Studying. With each tutorial, you’ll develop new expertise and enhance your understanding of this difficult but profitable sub-field of Knowledge Science.
This course is enjoyable and thrilling, however on the similar time, we dive deep into Machine Studying. It’s structured the next manner:
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Half 1 – Knowledge Preprocessing
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Half 2 – Regression: Easy Linear Regression, A number of Linear Regression, Polynomial Regression, SVR, Resolution Tree Regression, Random Forest Regression.
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Half 3 – Classification: Logistic Regression, Okay-NN, SVM, Kernel SVM, Naive Bayes, Resolution Tree Classification, Random Forest Classification
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Half 4 – Clustering: Okay-Means, Hierarchical Clustering.
And as a bonus, this course contains Python code templates which you’ll be able to obtain and use by yourself tasks.
Who this course is for:
- Anybody considering Machine Studying.
- College students who’ve not less than highschool data in math and who need to begin studying Machine Studying.
- Any intermediate stage individuals who know the fundamentals of machine studying, together with the classical algorithms like linear regression or logistic regression, however who need to be taught extra about it and discover all of the completely different fields of Machine Studying.
- Any people who find themselves not that snug with coding however who’re considering Machine Studying and need to apply it simply on datasets.
- Any college students in school who need to begin a profession in Knowledge Science.
- Any individuals who need to create added worth to their enterprise through the use of highly effective Machine Studying instruments.
