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Project:User Data analysis
Reference:DLithe
User Data Analysis using Machine learning models
The main aim of this project is using logistic regression model for predicting that a user will purchase the company’s newly launched product or not.
Steps involved in this project are:
1.Collecting the dataset
2.Analyzing the dataset
3.Train and test the dataset
4.Data exploration
5.Accuracy report is provided by confusion matrix,performance measure accuracy and visualizing the performance model