Predict your beer consumption capacity with ML
- Offered byGreat Learning
Predict your beer consumption capacity with ML at Great Learning Overview
Predict your beer consumption capacity with ML
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Predict your beer consumption capacity with ML at Great Learning Highlights
Predict your beer consumption capacity with ML
at Great Learning
- Earn a certificate of completion from Great Learning
Predict your beer consumption capacity with ML at Great Learning Course details
Predict your beer consumption capacity with ML
at Great Learning
More about this course
- In this session, you will be working on an end-to-end case study to understand the different stages of Model building using the Machine Learning concept
- This will deal with "data manipulation" with pandas and Numpy, and "data visualization" with Matplotlib and Seaborn libraries with the beer consumption dataset
- After Data manipulation and Data visualization, Exploratory data analysis will be performed and then an ML model will be built on the beer consumption dataset to create a model/system which can predict the beer consumption for a person according to the different attributes
- You will also learn about the basics of the sci-kit-learn library to implement the machine learning algorithm
Predict your beer consumption capacity with ML at Great Learning Curriculum
Predict your beer consumption capacity with ML
at Great Learning
Syllabus
Array
Predict your beer consumption capacity with ML at Great Learning Faculty details
Predict your beer consumption capacity with ML
at Great Learning
Ms. Sampriti Chatterjee
Designation : Instructor
Description : Sampriti has been working in the field of data science and has expertise in languages such as Python, SQL, and Java. She also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow 2.0. She is been in the technical content side for the last few years.
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