Machine learning and Python have become key industry drivers in the global job and opportunity market. This Spotle.ai Masterclass, designed and delivered by the industry experts and Ivy League academic leaders, will help you learn supervised 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:
- The principle of supervised and unsupervised learning and their difference.
- Linear Regression, Logistic Regression, Decision Tree, Regression Tree, Discriminant Analysis, Naïve Bayes Classifier, K-NN with lots of real life examples using Python programming language.
- How to choose the right set of algorithms to solve your problem statement.
We understand the value of your time. All Spotle.ai courses are compact and to the point. So that you can learn quickly and give more time to applications building. Get ready for the experiential learning.
Goals
- The fundamentals of supervised and unsupervised learning and their differences.
- Linear Regression and its applications.
- Classification with Logistic Regression, Decision Tree, Discriminant Analysis, Naïve Bayes Classifier, and K-Nearest Neighbor.
- A lots of real life applications using Python programming language.
- How to choose the right set of algorithms to solve your problem statement.
Prerequisites
- Basic knowledge of Statistics and Python programming language will be a plus.