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Wine Quality test using machine Learning

Instructor:

Ms. Sampriti Chatterjee

Beginner

Level

1.5 Hrs

Learning hours

895

Learners

Enrol free with email

About this Live Session

Great Learning brings you this live session on "Wine Quality test using machine Learning". 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 Wine quality dataset. After Data manipulation and Data visualization, Exploratory data analysis will be performed and then an ML model will be built on the wine quality dataset to create a model/system which can predict the wine quality according to the different attributes. You will also learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.

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Wine Quality test using machine Learning

1.5 Hrs

Learning hours

Beginner

Level

895

Learners

Trusted by 10 Million+ Learners globally

4.8

4.89

4.94

4.7

Our instructor

Ms. Sampriti Chatterjee

Machine Learning Expert

108K+ Learners

41 Courses

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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