GitHub topics: leadscoring
saranya-ponnarasu/Predictive_Lead_Scoring_for_Edtech
Predicting lead conversion rates using a Logistic Regression model for an EdTech company.
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ACCpath/MachineLearning
Develop data products aimed at improving business results on a continuous and regular basis, using supervised and unsupervised machine learning methodology.
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Ansuman21/Lead-Scoring-Case-Study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
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MhonishaN/LeadScore_Upgrad
X Education needs a machine learning model which will increase their lead conversion beyond 80%. To solve this problem logistic regression model is developed which predicts a lead conversions up to 90% accuracy.
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SharadChoudhury/Lead-Scoring-CaseStudy
Scoring Leads for an Ed-Tech company to enable higher leads conversion
Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
wcrowley342/LogisticRegression
Building a leading scoring model with logistic regression to help the Dunder Mifflin sales team. 📊
Language: Jupyter Notebook - Size: 794 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
