This is a kaggle competition that took place in 2012.
The purpose of this competition is to predict the sale price of bulldozers sold at auctions.
- Ensemble Learning
- Machine Learning
- Data Visualization
- Predictive Modeling
- Data Interpretation
- Time Series Analysis
- Model Interpretation
- Python
- Plotly
- Numpy
- SkLearn
- Pandas, jupyter
- PDPbox
- treeinterpreter
In this Task Most of my attention was on data visualization and Model interpretation with the tools like treeinterpreter and PDPbox. I came up with 3 models such as Random Forest, XGboost, Extremely randomized tree. Which gave me nearly the same results with all that hyper parameter tuning with the score within top 10%.
- Model Evaluation
- Data Exploration/descriptive statistics
- Data Pre Processing/Cleaning
- Exploratory Data Analysis