Code using Python Spyder please.

dataset: household_power_consumption.csv

* Print the descriptive statistics of the given dataset

* Plot the data visualization of the given data set in terms of seasonal and monthly variations.

* Using the Lasso Regression model, Plot the Line plots of time series forecasting for seasonal and bi weekly (2-weeks)

* Using the ElasticNet model, Predict the multi-step Time series forecasting for two successively bi-weekly (2-weeks) outputs.

* Try RNN using LSTM for the above datasets and predict the output for 2 days as multi-step time series analysis using 10 day input model.