Let's build some fun Machine Learning projects and practice skills like exploratory analysis, feature engineering, cross-validation techniques and machine learning algorithms to better understand and have a hands on experience. We take the data from Kaggle and develop in a python notebook environment.
TOPICS: (I will update the list below as and when I create new projects)
About the project:
A regression problem where we have to predict `the like to view_count ratio` of youtube videos based on the title, description, thumbnail and additional metadata.
About the project:
Correctly identify digits from a dataset of tens of thousands of handwritten images from a curated set of MNIST dataset.