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.
☆9Updated 3 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☆17Updated last year
- Collection of python scripts to demonstrate asynchronous programming in python☆11Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- ☆19Updated 4 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- ☆12Updated 2 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆18Updated 4 months ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 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 3 years ago
- Nuclear Powered Command-Line Tools☆12Updated 6 years ago
- TensorFlow materials☆13Updated 4 years ago
- [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…☆15Updated 2 years ago
- Material for Talk Python Training course on Getting Started with Dask.☆28Updated 2 years ago
- ☆17Updated 2 years ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- ☆8Updated last year
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!☆11Updated 8 months ago
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 2 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 5 years ago
- ☆33Updated last year
- ☆21Updated last year
- BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…☆18Updated 3 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 5 years ago