Python – Machine Learning – MicroMerits Online classes

Level 1: Python Programming
- Lesson 1 – Variables and Data Types
- Lesson 2 – Operators in Python
- Lesson 3 – Lists basics
- Lesson 4 – Operations on lists
- Lesson 5 – Dictionary
- Lesson 6 – Loops – Conditions
- Lesson 7 – Functions
- Lesson 8 – Modules
- Lesson 9 – File handling
- Lesson 10 – Classes and objects
- Lesson 11 – NumPy arrays and operations
- Lesson 12 – Working with Pandas
- Lesson 13 – Introduction to matplotlib
- Lesson 14 – Introduction to Machine learning
- Lesson 15 – Supervised learning basics
Level 2 – Data Science
- Introduction to Machine Learning
- Data and dimensions
- Data cleansing and imputation
- Data transformation
- ML model concepts
- Supervised learning methods
- Unsupervised learning methods
- Python Scikit API
- Estimation and Prediction
- Linear Regression
- Clustering
- Predictive analytics
Level 3 – Project work
- Live project

Python - Machine Learning