https://github.com/arjuntheprogrammer/decision-trees-random-forests-adaboost-xgboost-in-python
Decision Trees, Random Forests, AdaBoost & XGBoost in Python Udemy Course
https://github.com/arjuntheprogrammer/decision-trees-random-forests-adaboost-xgboost-in-python
Last synced: 7 months ago
JSON representation
Decision Trees, Random Forests, AdaBoost & XGBoost in Python Udemy Course
- Host: GitHub
- URL: https://github.com/arjuntheprogrammer/decision-trees-random-forests-adaboost-xgboost-in-python
- Owner: arjuntheprogrammer
- Created: 2020-07-14T11:41:47.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-14T12:08:27.000Z (over 5 years ago)
- Last Synced: 2025-01-26T20:29:50.292Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 2.55 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Course Link:
---
## Course Contents
* **Section 1** - Introduction to Machine Learning
* **Section 2** - Python basic
* **Section 3** - Pre-processing and Simple Decision trees
* **Section 4** - Simple Classification Tree
* **Section 5, 6 and 7** - Ensemble technique
---
## Objectives
* Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.
* Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
* Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
* Confidently practice, discuss and understand Machine Learning concepts.
---
## Learnings
* Get a solid understanding of decision tree
* Understand the business scenarios where decision tree is applicable
* Tune a machine learning model's hyperparameters and evaluate its performance.
* Use Pandas DataFrames to manipulate data and make statistical computations.
* Use decision trees to make predictions
* Learn the advantage and disadvantages of the different algorithms
---
## Completion Certificate
---