Welcome to BICARD's "Introduction to Machine Learning" course. This course covers basics of Mathematics, Statistics, and Python programming, and goes on to cover basic algorithms in Machine Learning using Python ML libraries. Learn how to make machines learn using custom, real-world data sets on hands-on projects in class.
Machine Learning is the art of programming a machine to learn with experience. This field, which is a subset of Data Science, is not only exciting, but also highly in demand.. ML engineers command to top jobs and deserve the highest salaries. BICARD presents a fully self-contained "Introduction to Machine Learning - Data Science using Python". We use Python, the most popular language, which has found high favour in Machine Learning due to its lucid flow, English-like feel and huge support in the form of specialized, optimized libraries for Machine Learning. We take you through Math and Stats basics, through Python programming, and introduce you to ML libraries (numpy, pandas, matplotlib, and scikit-learn) and finally discuss the core algorithms of Machine Learning.The course has inbuilt mini-projects in Python and we use real-world datasets from AI startups as the base for making our machines learn!