Python is a more popular language for Artificial Intelligence. That is because Python is easy to learn and implement. With its many libraries, they can also be used for data analysis, AI and Machine Learning.
ML requires continuous data processing, and Python's libraries let you access, handle and transform data. These are some of the most widespread libraries you can use for ML and AI: Scikit-learn for handling basic ML algorithms like clustering, linear and logistic regressions, regression, classification, and others.
Join this course to build strong foundation in Python to start your journey on learning AI/ML in most effective way.
1. Introduction, Tools
2. NumPy & SciPy
6. Pandas - builtin Data visualisation
7. Plotly and Cufflinks
8. Geographical Plotting
9. Project - Calls
10. Project - Finance Data
12. Scikit-learn - Getting started with Machine Learning