I have implemented Linear Regression model and LSTM in two ways
1-cleaned data
.drop unnecessary columns
.check for duplication
.check for outliers using boxplot and skewness
2-Feature Scaling
.standard scaler for linear regression
.MinMax Scaler for LSTM with range 0 to 1
3-fitting linear regression model
4-Building LSTM model
5-Training model