LeadScore_LogisticRegression_Assignment

Logistic Regression performed on lead_score dataset as part of an assignment for coursework in the course Advance Cerificate Program in Data Science (Bootcamp).

Table of Contents

• General Information
• Technologies Used
• Conclusions

General Information

• Logistic regression is performed on the dataset.
• The project is done as part of coursework in the Machine Learning module.
• We are trying to provide scores to lead generated in X_Education based on probability of conversion.
• The Lead score dataset is being used.
• The dependent/target varibale in the data set is converted.

Technologies Used

• pandas
• seaborn
• matplotlib
• statsmodels
• sci-kit learn
• numpy

Conclusion

• Accuracy, Sensitivity and Specificity values of test set are around 81%, 80% and 82% which are approximately closer to the respective values calculated using trained set.
• Also the lead score calculated in the trained set of data shows the conversion rate on the final predicted model is around 81%
• Hence overall this model seems to be good.

Contact

Created by [@garimagupta123] - feel free to contact me!