A repository where you can explore various machine learning model using Sc-Kit(SK) learn library Data Set for each model is given you can edit ir, comments are placed for better understanding. Data Set can be easily replaced by yours can you can obtain the result by simply running file into juypter or copy the code and run on any platform.
Model1- Simple_linear_Regression You can understand it by comments in the file
Model2- Multiple_linear_Regression
It has been performed by poor data set, so first performed **PREPROCESSING** and **Data_cleaning** by
Exploring the descriptive statistics of the variables
Determining the variables of interest
Dealing with missing values
Exploring the PDFs
Dealing with outliers
Checking the OLS assumptions
Relaxing the assumptions
Multicollinearity
Create dummy variables
Rearrange a bit
Then for **Linear Regression Model** we performed
Declare the inputs and the targets
Scale the data
Train Test Split
Create the regression
Finding the weights and bias
Finally we performed **Testing**