Topic: lead-scoring Goto Github
Some thing interesting about lead-scoring
Some thing interesting about lead-scoring
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.
User: abhijitpai000
lead-scoring,A Logistic Regression project
User: abhinav1024
lead-scoring,Lead Scoring Case Study using Logistic Regression
User: abhiram-ds
lead-scoring,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.
User: atharvapathak
lead-scoring,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
User: bipin-odattil
lead-scoring,Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.
Organization: bookletai
Home Page: https://app.booklet.ai/model/lead-scoring
lead-scoring,An end-to-end enterprise-grade example of working a data science problem.
User: calvdee
lead-scoring,Fixed few things of https://github.com/PredictionIO/template-scala-parallel-leadscoring so you can run locally
User: chrisshayan
lead-scoring,Request a quote is designed for small business owners to receive inquiry or quote requests from customers.
User: emarket-design
Home Page: https://emdplugins.com/plugins/request-a-quote-wordpress-plugin/
lead-scoring,Typescript library to access Faraday's API infrastructure for B2C predictions
Organization: faradayio
Home Page: https://faraday.ai/developers/reference
lead-scoring,
Organization: google
lead-scoring,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.
User: haihuynh206
lead-scoring,Lead-Scoring-Case-Study
User: imumi17
lead-scoring,Predict the lead score for who is most likely to convert into a paying customer.
User: insancs
lead-scoring,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
User: katyayani09
lead-scoring,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.
User: mukulsinghal001
lead-scoring,Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning
User: olivierzach
lead-scoring,Portfolio project: Machine learning automation project for online educational company. Lead scoring and segmentation models.
User: pedrocorma
lead-scoring,We perform batch inference on lead scoring task using Pyspark.
User: rohanchauhan
lead-scoring,Predictive lead scoring for corporate loan data
User: sahilgandhi94
lead-scoring,Airflow Pipeline for Lead Scoring to Maximize Profit with retraining pipeline and Development experimentation using mlflow
User: sukhijapiyush
lead-scoring,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.
User: sumitsatam
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.
User: tawfikfadzil
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