Machine learning, Data Science and Python have become key industry drivers in the global job and opportunity market. This course, designed and delivered by the industry experts and Ivy League academic leaders, will help you learn machine learning from scratch. You will learn the subject with lots of applications and coding using Python programming language in real life business scenarios.
In this course you will learn:
1. The principle of supervised and unsupervised learning and their difference.
2. Linear Regression, Logistic Regression, Decision Tree, Regression Tree, Random Forest, Discriminant Analysis, Support Vector Machines, Naïve Bayes Classifier, KNN, Cluster Analysis, K-means clustering, Hierarchical clustering, Factor Analysis with lots of real life examples using Python programming language.
3. How to choose the right set of algorithms to solve your problem statement.
At the end of this course you will learn,
You are all set to start now if you just have a computer or a mobile handset with an internet connection.
Basic knowledge of Python will be a plus. Basic understanding of Statistics will be a plus.