YisongZou / Flask-Salary-Predictor-with-Random-Forest-AlgorithmLinks
In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predict the salary based on your years of experience. We will use Flask as it is a very light web framework to handle the POST requests.
☆10Updated 4 years ago
Alternatives and similar repositories for Flask-Salary-Predictor-with-Random-Forest-Algorithm
Users that are interested in Flask-Salary-Predictor-with-Random-Forest-Algorithm are comparing it to the libraries listed below
Sorting:
- Operations Research Algorithms☆18Updated last year
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆20Updated 4 years ago
- ☆18Updated 4 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- ☆12Updated 2 years ago
- ☆19Updated 4 years ago
- ☆21Updated 2 years ago
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 4 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆52Updated 9 months ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆103Updated this week
- This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.☆11Updated 5 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- This is a repository that goes hand by hand with my Medium Series under the same name. Here, each article will be further developed, with…☆12Updated 5 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- Template for a modular, Python-based data science project.☆40Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Artificial Intelligence with Python Cookbook, published by Packt☆77Updated 2 months ago
- ☆17Updated 3 years ago
- Data science and ML with Dask☆14Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 4 years ago
- Tutorials for getting the most out of Matplotlib☆23Updated 4 years ago