Machine Learning & Deep Learning in Python & R - Machine Learning Python
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series
Forecasting, and more using both Python & R - Machine Learning
Python, machine learning with R.
Course Description
You're looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Data Science & Machine Learning, right?
You've found the right Machine Learning course!
After completing this course you will be able to:
Confidently build predictive Machine Learning and Deep Learning models to solve business problems and create a business strategy
Answer Machine Learning related interview questions
Participate and perform in online Data Analytics competitions such as Kaggle competitions
Confidently build predictive Machine Learning and Deep Learning models to solve business problems and create a business strategy
Answer Machine Learning related interview questions
Participate and perform in online Data Analytics competitions such as Kaggle competitions
Check out the table of contents below to see what all Machine Learning and
Deep Learning models you are going to learn.
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who
undertake this Machine learning basics course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real-world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real-world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning.
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience
Requirements
- Students will need to install Anaconda software but we have a separate lecture to guide you install the same
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