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.
Why upskill with us?
1000+ free courses
In-demand skills & tools
Free life time Access
Our instructor
Ms. Sampriti Chatterjee
105K+ 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.