If you are new to #python and #machinelearning, in this video you will find some of the important concepts/steps that are followed while predicting the results in Multiple Linear Regression model. These steps are helpful, especially, while handling large number of observations in a dataset. The dataset used in this video is publicly available and therefore, easy to download and practice. Here is the link to the dataset: https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant (Note: If multiple sheets are downloaded, the data in the sheet 1 is used in this video for analysis and if your data is downloaded in excel format, replace pd.read_csv with pd.read_excel while importing dataset in Jupyter) Hope you find this video helpful. Let me know your thoughts in the comment section below. I make videos on Tableau and Python on a regular basis. If you like this video, please don’t forget to subscribe. Happy Learning! #multiplelinearregression #python #jupyter #jupyternotebook #beginnerinmachinelearning #machinelearning #pythontutorial #regression #scikitlearn #sklearn