What you would learn in Machine Learning using Python course?
You're searching for a comprehensive Machine Learning course in Python, which will aid you in building a lucrative career in the area of Data Science and Machine Learning, isn't it?
You've found the perfect Machine Learning course!
When you've completed this course, you'll be capable of:
You can confidently create predictor Machine Learning models using Python to tackle business issues and develop a business strategy
* Provide an answering Machine Learning related interview questions
* Participate in and take part on the internet in Data Analytics competitions such as Kaggle competitions
Look at this table for the complete list of Machine Learning models you are expected to master.
What can this course do to aid you?
A Verifiable Certificate of Completion is given to all students who complete this Machine Learning Basics course.
Suppose you're a business director or executive or a student looking to understand and use machine-learning techniques, Python, and predictive modeling in the real business world. In that case, This course will provide you with a solid foundation in which you can learn the most well-known methods in machine learning, Python, and predictive modeling.
The reason why you should take this program?
This course will cover all steps one should follow in solving business problems using linear regression. This course will provide each of youe with learning and predictive modeling techniques that use Python.
Most courses are focused on teaching you how to run the analysis. However, we consider that what happens between and after running the analysis is just as important, i.e., before running the analysis, it is essential to gather the correct data available and have done some pre-processing. After running the analysis, you will be able to assess how well your model works and use the results so that you are adequate for your business.
What exactly is Machine Learning?
Machine Learning is a field of computer science that gives computers the capacity to learn without being programmed. It's a part of artificial intelligence based on the belief that systems can be taught from information, detect patterns and make decisions without human involvement.
Course Content:
- Learn to tackle real-world problems by using Machine learning methods.
- Advanced Machine Learning models include Decision trees, Random Forest, SVM, etc.
- How to perform simple statistical calculations and execute ML model in Python
- The understanding of the basics of statistics and the concepts of Machine Learning
- How can you transform a business issue into a machine learning issue
- A thorough understanding of data collection and processing for Machine Learning Problem
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