Machine Learning & Deep Learning in Python & R
Udemy Free Online Course
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R
What you'll learn
- Learn how to solve real life problem using the Machine learning techniques
- Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
- Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
- Understanding of basics of statistics and concepts of Machine Learning
- How to do basic statistical operations and run ML models in Python
- Indepth knowledge of data collection and data preprocessing for Machine Learning problem
- How to convert business problem into a Machine learning problem.
Requirements
- Students will need to install Anaconda software but we have a separate lecture to guide you install the same.
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, Python, R or Deep 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 using R, Python to solve business problems and create business strategy
- · Answer Machine Learning, Deep Learning, R, Python related interview questions
- · Participate and perform in online Data Analytics and Data Science 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.
Who this course is for
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience.
This course includes
- 35 hours on-demand video
- 4 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Apply Link
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