faradayio/faraday-js

Typescript library to access Faraday's API infrastructure for B2C predictions

Language: TypeScript - Size: 1.59 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 24 - Forks: 1

Nimittxo/Crystallize

An Automated Lead Management and CRM do star It If you like It.

Language: TypeScript - Size: 2.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AndrewUru/Python-Lead-scoring

App de Lead Scoring con Inteligencia Artificial para analizar mensajes y detectar intención de compra. Hecha con Python, Streamlit y OpenAI.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

google/blockbuster

Language: Python - Size: 272 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 6

pabloelt/lead-scoring-analysis-and-segmentation

Lead Scoring Analysis and Segmentation. A lead scoring analysis is conducted for an online teaching company with a low client conversion rate. The goals are to reverse this trend by using a machine learning model based on available company data and to categorize customers with an effective segmentation.

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

HaiHuynh206/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 - Size: 9.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

calvdee/end-to-end-lead-scoring

An end-to-end enterprise-grade example of working a data science problem.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 9

abhinav1024/lead_scoring_model

A Logistic Regression project

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emarket-design/request-a-quote

Request a quote is designed for small business owners to receive inquiry or quote requests from customers.

Language: PHP - Size: 1.52 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Katyayani09/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

Size: 847 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

olivierzach/tricentis-lead-scoring

Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning

Language: Python - Size: 105 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 11

atharvapathak/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 - Size: 4.16 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sahilgandhi94/predictive-lead-scoring

Predictive lead scoring for corporate loan data

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 3

SumitSatam/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 - Size: 1.03 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sukhijapiyush/CodePro-mlops-using-airfflow-mlflow

Airflow Pipeline for Lead Scoring to Maximize Profit with retraining pipeline and Development experimentation using mlflow

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

imumi17/Lead-Scoring-Case-Study

Lead-Scoring-Case-Study

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abhiram-ds/lead_scoring_logistic_regression

Lead Scoring Case Study using Logistic Regression

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

BookletAI/lead-scoring-demo

Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.

Language: Jupyter Notebook - Size: 404 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 7

pedrocorma/lead-scoring-and-segmentation

Portfolio project: Machine learning automation project for online educational company. Lead scoring and segmentation models.

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

TawfikFadzil/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 - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

rohanchauhan/azure-batch-inference-service

We perform batch inference on lead scoring task using Pyspark.

Language: Jupyter Notebook - Size: 522 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

insancs/lead-scoring-classification

Predict the lead score for who is most likely to convert into a paying customer.

Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

chrisshayan/predictionioleadscoring

Fixed few things of https://github.com/PredictionIO/template-scala-parallel-leadscoring so you can run locally

Language: XSLT - Size: 73.2 KB - Last synced at: 16 days ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0