Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available
Upon completing this course you will know:
- Know about the various machine learning algorithms.
- Develop and run regression and classification models on small datasets with good accuracy.
- Know about various libraries in Python for machine learning, like, Numpy, Pandas, Sci-kit learn etc.