92% Off Data Science: Supervised Machine Learning in Python | Coupon Codes

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Course Info & Coupon Details

Course name: Data Science: Supervised Machine Learning in Python
Course instructor: Lazy Programmer Inc. (Data scientist and big data engineer)
Description Course: A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Sci-Kit Learn
Online course: 33 lectures, Beginner Level
Video length: 3 hours
Languages: English
Categories: Data & Analytics
Students: 331 students enrolled
Ratings: 9 reviews
Course type Includes: Lifetime Access
There is no risk: 30 day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion

Course Review

In this Course, Lazy Programmer Teaches You A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Sci-Kit Learn. Enrolling in Course Data Science: Supervised Machine Learning in Python.

Brief Course Curriculum and Learning Objectives
Data Science: Supervised Machine Learning in Python, you’ll Understand and implement:
K-Nearest Neighbors in Python
limitations of KNN
you’ll user KNN to solve several binary and multiclass classification problems
Naive Bayes and General Bayes Classifiers in Python
limitations of Bayes Classifiers
Decision Tree in Python
Perceptron in Python
The limitations of the Perceptron
hyperparameters and how to apply cross-validation
The concepts of feature extraction and feature selection
The pros and cons between classic machine learning methods and deep learning
you’ll use Sci-Kit Learn
Machine learning web service
much more!

This course is intended for anyone?
People wants to apply machine learning techniques to their datasets
People wants to apply machine learning techniques to real world problems
This course is intended for anyone who want to learn classic data science and machine learning algorithms
This course is intended for anyone who want to learn artificial intelligence (AI)

Taught by Lazy Programmer Inc.
Lazy Programmer Inc. He experienced data scientist, big data engineer, and full stack software engineer.

Conclusion and Recommendation
This course is a great way to get started as a journey to get you how to build and understand K-Nearest Neighbors in Python, limitations of KNN, User KNN to solve several binary and multiclass classification problems. Lazy Programmer will get you go from a beginner to advanced, he will teach you Understand and implement Naive Bayes and General Bayes Classifiers in Python, Decision Tree in Python, the Perceptron in Python. The limitations of Bayes Classifiers and of the Perceptron. You’ll Understand hyperparameters and how to apply cross-validation, the concepts of feature extraction and feature selection, the pros and cons between classic machine learning methods and deep learning, use Sci-Kit Learn, implement a machine learning web service and much more! If you’re looking to get into learning Supervised Machine Learning in Python, this course is an excellent choice! Enrolling in Course Now!

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