JoAmps/Classical-Machine-Learning-Folder JoAmps/Classical-Machine-Learning-Folder

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JoAmps/Classical-Machine-Learning-Folder
github

JoAmps

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Building complex Machine learning models to make predictions on data

More Repositories

1

Lead_conversion_prediction_for_a_mobile_app_company

Predicting if a lead would convert on an app, deployed using fastapi, with streamlit as frontend via CI/CD using GitHub Actions, and containerised using Docker
Jupyter Notebook
2
star
2

JoAmps-Udacity-Machine-learning-Devops-Engineer-Nanodegree-MLOPS-

My projects in the Udacity MLOPS nano degree course
Jupyter Notebook
1
star
3

PowerSystemsBot

An interactive Q & A bot that helps you quickly find answers and information on all programs during electrical engineering masters studies in KNUST
Python
1
star
4

Churn-prediction-in-a-vehicle-insurance-company-in-Ghana

Predicting customer churn in a vehicle insurance company in Ghana, deployed on Heroku, via CI/CD using GitHub Actions and set up monitoring to detect model and concept drifts
Jupyter Notebook
1
star
5

Forecasting-average-weekly-prices-of-the-Parallel-Alpha-nft

Forecast next week prices of the parallel alpha nft, using data from an api, stored in postgresql database and forecasted using 3 time series models with results deployed to a Tableau dashboard
Jupyter Notebook
1
star
6

KidFriendlySocial

A safe social media webapp using NLP models(BERT and GPT3) for bad language detection and content recommendations, deployed using docker and Kubernetes on digital ocean
Python
1
star
7

AWS_ML_architecture_for_cost_prediction_of_sporting_equipment

Build and Train a model on AWS sagemaker, and automate the various data and machine learning tasks using AWS step functions via AWS lambda and deploy to a webapp
Jupyter Notebook
1
star
8

JoAmps

1
star
9

Tensorflow-for-Computer-vision-Folder

Building and Training models to enable computers to interpret and understand the visual world using Tensorflow
Jupyter Notebook
1
star