Predictive analysis of Unemployment rate Using Machine Learning Techniques

The issue of unemployment has both immediate and long-term effects, which in turn decide the economy of the country. The model proposed in the paper with factual datasets & the datasets are investigated and analyzed utilizing machine learning models such as LSTM and Linear regression. Exploratory Data Analysis is used to split the data, The training set and test set are created from the dataset and it is utilized in the LSTM, Linear regression, and dense to create multiple layers to predict the unemployment rate. An evaluation matrix such as mean squared error (MSE) is utilized to check the difference in the predicted and actual value. This gives an eagle's view of the unemployment rate, which would help in overcoming unemployment in the country.