https://github.com/srineogi/deals-prediction-python

Binary Classification problem (Won = 1, Lost=0)
https://github.com/srineogi/deals-prediction-python

binaryclassification classification deals decision-tree-classifier deep-learning deep-neural-networks knn-classifier machine-learning python random-forest-classifier sckiit-learn svm-classifier tensorflow

Last synced: 10 days ago
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Binary Classification problem (Won = 1, Lost=0)

• Host: GitHub
• URL: https://github.com/srineogi/deals-prediction-python
• Owner: SriNeogi
• Created: 2024-12-11T09:28:59.000Z (29 days ago)
• Default Branch: main
• Last Pushed: 2024-12-27T08:46:56.000Z (13 days ago)
• Last Synced: 2024-12-27T09:29:27.132Z (13 days ago)
• Topics: binaryclassification, classification, deals, decision-tree-classifier, deep-learning, deep-neural-networks, knn-classifier, machine-learning, python, random-forest-classifier, sckiit-learn, svm-classifier, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 623 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Visualization & Classification

Plots were created using Seaborn,Panadas Plotting and Matplotlib.

Classification was done using Deep Learning models (Sequential) in Tensorflow.

# Dataset

Sample_Data_Deals2 containing 6 columns: OrderID, OrderQuantity, OrderValue, Country, Industry & Deal Status. The target variable for binary prediction is Deal Status (Won=1, Lost=0).

# Libraries

!pip install seaborn

!pip install matplotlib

!pip install pandas

!pip install tensorflow

# Contributing

If you'd like to contribute to this project, please open an issue or submit a pull request. Your contributions are greatly appreciated!