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Salary Prediction based on experience using ML

Instructor:

Ms. Sampriti Chatterjee
Beginner

Level

1.5 Hrs

Learning hours

842

Learners

Enroll free with email

About this Live Session

Great Learning brings you this live session on "Salary Prediction based on experience using ML". 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 Salary dataset. After Data manipulation and Data visualization, Exploratory data analysis will be performed and then an ML model will be built on the salary dataset to create a model/system which can predict the salary 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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Salary Prediction based on experience using ML

1.5 Hrs

Learning hours

Beginner

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842

Learners

Enroll free with email

Trusted by 10 Million+ Learners globally

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Our instructor

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Ms. Sampriti Chatterjee

Machine Learning Expert

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948.4K+ Learners
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76 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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Azure Managed Services and Operations
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AWS Cloud Computing Essentials
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AWS Database Essentials
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AWS AI Services Essentials
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Introduction to Amazon Q and QuickSight
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Introduction to Amazon Q and QuickSight
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Model Training and Deployment with AWS SageMaker
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Model Training and Deployment with AWS SageMaker
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