Machine Learning & Deep Learning in Python & R

Machine Learning & Deep Learning in Python & R

Learn about Machine Learning, Neural Networks, CNN, time series analysis and much more using Python & R studio

What you’ll learn

1. Learn how to solve real life problem using the Machine learning techniques
2. Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
3. Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
4. Understanding of basics of statistics and concepts of Machine Learning
5. How to do basic statistical operations and run ML models in Python
6. Indepth knowledge of data collection and data preprocessing for Machine Learning problem
7. 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

The course is created on the basis of three pillars of learning:

1. Know (Study)
2. Do (Practice)
3. Review (Self feedback)

Know

We have created a set of concise and comprehensive videos to teach you all the Excel related skills you will need in your professional career.

Do

With each lecture, we have provide a practice sheet to complement the learning in the lecture video. These sheets are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.

Review

Check if you have learnt the concepts by comparing your solutions provided by us. Ask questions in the discussion board if you face any difficulty.

Who this course is for:

• People pursuing a career in data science
• Working Professionals beginning their Data journey
• Statisticians needing more practical experience

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