Machine Learning in Python with Marketing Analytics Projects

Machine Learning in Python with Marketing Analytics Projects

Are you interested in learning Machine Learning and start a career in Data Science? Are you interested in developing a project portfolio to showcase your work in the field of Retail Marketing Analytics? How about actionable insights from your machine learning projects that you can show on your resume? Well, then you are right place and this is just the course you need !

This course is designed by a highly experienced data scientist to improve your understanding of Machine Learning and how the concepts can be applied in the field or Retail Analytics. 

The course achieves the following 4 objectives

1. Get you started on your learning journey in the field of Data Science and Machine Learning

2. Build your confidence level by simple explanation of complex theories and corresponding Python Implementation

4. Explain the concepts of Marketing Analytics

3. Help you build a strong body of work through 2 real life Machine Learning projects in Retail Marketing Domain and build a narrative around insights and recommendations

`The course is structured across the following modules:

1. Fundamentals of Machine Learning

2. Data PreProcessing

3. Feature Selection

4. Clustering Algorithms

5. Dimensionality Reduction

6. Regression Algorithms

7. Classification Algorithms

8. Model Optimization

9. Marketing Analytics Concepts

10. Retail Domain Marketing Analytics Projects

In addition, there are quizzes provided throughout the course to enable quick revision of concepts and generated more confidence in the learning process. All the codes and datasets are provided as downloadable resources

In Depth Machine Learning Algorithms | Numpy, Pandas, Sklearn, VarClusHi | Capstone Marketing Analytics Python Projects

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What you will learn

• Fundamental Concepts of Machine Learning
• Master Machine Learning Algorithms and perform hands on sessions
• Make powerful Machine Learning Models with SKLEARN and develop robust predictive frameworks

Rating: 4.35

Level: Beginner Level

Duration: 25.5 hours

Instructor: Machine Learning Express