Fundamentals of Machine Learning With Python By Spotle.ai

Goals

• Machine learning techniques.
• Supervised machine learning, Unsupervised machine learning, Semi-supervised machine learning, Reinforcement learning.
• Linear regression with Python.
• Logistic regression with Python.
• Solving classification problems by discriminant analysis with a case study.
• Decision tree with Python.
• Solving unsupervised learning problems with cluster analysis.
• K-means clustering with Python.
• Hierarchical clustering.
• Bonus - Application of AI in cyber security and FinTech.

Prerequisites

• You will need to have a computer or a mobile handset with an internet connection.
• Basic knowledge of statistics and Python programming language will be an advantage.