kennedyCzar / DATA-MINING-AND-INSGIGHT-EXPLORATION

Exploring a hosing dataset to find insights, trend and feature correlations among categories

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DATA-MINING-AND-INSGIGHT-EXPLORATION

Exploring a hosing dataset to find insights, trend and feature correlations among categories and numerical variables.

Insight extraction was executed on two different datasets. the result is presented in a notebook and follows with a pdf document.

Notebook for first dataset Housing Price python script

Notebook on second dataset Meter Price python script

The Project Workflow

  • Data import and preprocessing
  • Init exploration and analysis
  • Deep Exploration and Cluster analysis
  • Outlier Detection and analysis
  • Analysis and technical modelling
  • Feature Importance
  • Predictive Modelling
  • Forecast

How to Use

git clone https://github.com/kennedyCzar/DATA-MINING-AND-INSGIGHT-EXPLORATION

Output Images

Image of FeatureImportance

Image of lrvsstrdire

Image of corr

Image of crossover

Image of macd

About

Exploring a hosing dataset to find insights, trend and feature correlations among categories

License:MIT License


Languages

Language:Jupyter Notebook 99.7%Language:Python 0.3%