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☆17Updated last year
- 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
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- 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
- Artificial Intelligence with Python Cookbook, published by Packt☆75Updated 2 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 4 years ago
- ☆19Updated 4 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- [Video]Colab Notebooks for Python for Data Science by Pearson☆42Updated 6 months ago
- ☆18Updated 3 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- Writing Primer for Data Scientists☆18Updated 5 years ago
- ☆21Updated 2 years ago
- Data science and ML with Dask☆14Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Template for a modular, Python-based data science project.☆39Updated last year
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆44Updated last year
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆20Updated 5 months ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- tutorial for Rust for Enterprise MLOps book by O'Reilly☆40Updated 2 years ago
- End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.☆43Updated last year
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- ☆12Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆37Updated 6 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- ☆14Updated 3 years ago