Building a Machine Learning Model When Data Isn't Available

What do you want to find out or discover using your data? Do you have the appropriate data to analyze? Data is key to any data science and machine learning task. Data comes in different flavors such as numerical data, categorical data, text data, image data, sound data, and video data. The predictive power of a model depends on the quality of data used in building the model.