lead-scoring
There are 3 repositories under lead-scoring topic.
mukulsinghal001 / lead-scoring-model-python
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
Language:Jupyter Notebook 44olivierzach / tricentis-lead-scoring
Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning
Language:Python 30calvdee / end-to-end-lead-scoring
An end-to-end enterprise-grade example of working a data science problem.
Language:Jupyter Notebook 26faradayio / faraday-js
Typescript library to access Faraday's API infrastructure for B2C predictions
Language:TypeScript 23BookletAI / lead-scoring-demo
Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.
Language:Jupyter Notebook 21- Language:Python 3
abhijitpai000 / predictive_lead_scoring
Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
Language:Python 2abhinav1024 / lead_scoring_model
A Logistic Regression project
Language:Jupyter Notebook 2HaiHuynh206 / Lead_scoring_model
In this project, I leverage machine learning models including Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost, and LightGBM to predict customer lead scoring. I apply WOE and SHAP for feature selection and use Optuna for hyperparameter turning, aiming to identify potential lead customers effectively.
Language:Jupyter Notebook 2abhiram-ds / lead_scoring_logistic_regression
Lead Scoring Case Study using Logistic Regression
Language:Jupyter Notebook 1pedrocorma / lead-scoring-and-segmentation
Portfolio project: Machine learning automation project for online educational company. Lead scoring and segmentation models.
Language:Jupyter Notebook 1sahilgandhi94 / predictive-lead-scoring
Predictive lead scoring for corporate loan data
Language:Jupyter Notebook 1sukhijapiyush / CodePro-mlops-using-airflow-mlflow
Airflow Pipeline for Lead Scoring to Maximize Profit with retraining pipeline and Development experimentation using mlflow
Language:Jupyter Notebook 1SumitSatam / Lead_Scoring_Case_Study
X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers.
Language:Jupyter Notebook 1TawfikFadzil / Automated-Lead-Scoring
Lead scoring is an effective lead prioritization method used to rank prospects based on the likelihood of converting them to customers. This repository aimed to develop an automatic lead scoring through logistic regression technique. Stepwise selection approach is used to identify and select important variables for the model.
Language:R 1atharvapathak / Lead_Scoring_Case_Study
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
Language:Jupyter Notebook 0bipin-odattil / lead-scoring-casestudy
Logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads
Language:Jupyter Notebook 0emarket-design / request-a-quote
Request a quote is designed for small business owners to receive inquiry or quote requests from customers.
Language:PHP 0imumi17 / Lead-Scoring-Case-Study
Lead-Scoring-Case-Study
Language:Jupyter Notebook 0insancs / lead-scoring-classification
Predict the lead score for who is most likely to convert into a paying customer.
Language:Jupyter Notebook 0Katyayani09 / LeadScoring
Lead scoring is a pivotal metric for assessing leads and has become a standard in contemporary CRM systems. Within this repository, we delve into how the lead scoring strategy helps solve customer conversion problem, exploring the application of various supervised machine learning models
0rohanchauhan / azure-batch-inference-service
We perform batch inference on lead scoring task using Pyspark.
Language:Jupyter Notebook 0chrisshayan / predictionioleadscoring
Fixed few things of https://github.com/PredictionIO/template-scala-parallel-leadscoring so you can run locally
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