BookletAI / lead-scoring-demoLinks
Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.
☆23Updated 3 years ago
Alternatives and similar repositories for lead-scoring-demo
Users that are interested in lead-scoring-demo are comparing it to the libraries listed below
Sorting:
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆104Updated last year
- Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …☆18Updated 6 years ago
- An end-to-end enterprise-grade example of working a data science problem.☆30Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 6 years ago
- Guide on creating an API for serving your ML model☆65Updated 3 years ago
- A curated list of awesome customer analytics content☆98Updated 8 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆31Updated 5 years ago
- A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize☆98Updated 10 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- A streamlit APP DEMO (python, plotly)☆28Updated 5 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated 2 years ago
- Create Interactive Dashboards with Streamlit and Python Coursera☆10Updated 5 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning☆27Updated 2 years ago
- ☆33Updated 7 years ago
- Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.☆26Updated 5 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆91Updated 3 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Repository to maintain all my clutter☆74Updated 4 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆65Updated 2 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆81Updated 5 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆82Updated 3 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆50Updated 5 years ago
- Recommender System Repo☆33Updated 6 years ago
- This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using P…☆29Updated 2 years ago
- Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.☆93Updated last year