Udemy - A Beginner's Guide to Data Mining (in Python)

Udemy - A Beginner's Guide to Data Mining (in Python)

About this course
Learn supervised learning for structured data, and implement them using Python programming
By the numbers
Lectures: 42
Video: 3 hours
Skill level: All Levels
425 students
Languages: English
Lifetime access
Available on iOS and Android
Certificate of Completion
In this course, you will learn the basics of Machine Learning and Data Mining; almost everything you need to get started. You will understand what Big Data is and what Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Decision Trees, and Neural Networks. You'll also understand how to combine algorithms into ensembles. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data. By the end of this course, you will understand the ABCs of Data Mining and be able to implement what you've learnt on your own, more specifically, be able to implement what you've learnt on Python. There is no ideal student as there are no prior requirements needed - everybody is welcome!!

Please feel free to ask me any question! Don't like the course? Ask for a 30-day refund!!

What are the requirements?

No previous knowledge required
What am I going to get from this course?

Understand Data Mining, Big Data, and Data Analytics
Learn a little bit of coding in Python
Learn Support Vector Machine, Linear Regression, Logistic Regression, K-Nearest Neighbor, Decision Trees, and Neural Networks
Learn how to preprocess a dataset
Learn how to handle categorical features
Learn how to handle unbalanced datasets
Understand the different validation methods
Understand feature selection and dimensionality reduction
Understand hyperparameter optimization
What is the target audience?

Anyone who wants to learn the basics of Data Mining

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