Event Information
About this Event
What is going to be covered:
Introduction to Machine Learning
Introduction to following core machine learning libraries :
Numpy, Pandas, Matplotlib, ScikitLearn
Types of Machine Learning
- Supervised
- Unsupervised
- Reinforced
We will implement a linear regression model from start to finish in PYTHON Jupyter notebook environment.
Steps:
- Data Visualization
- Data Preparation
- Model Building
- Model Evaluation
Please go through the following notebook to familiarise yourself with the process
https://www.kaggle.com/dansbecker/your-first-machine-learning-model