osundiranay Goto Github PK
Name: Ayoade J.
Type: User
Company: BitwisePathway
Bio: I am an AI programmer and IoT enthusiast.
Location: Nigeria.
Blog: bipnov.com
Name: Ayoade J.
Type: User
Company: BitwisePathway
Bio: I am an AI programmer and IoT enthusiast.
Location: Nigeria.
Blog: bipnov.com
In this project, SQL for data cleaning and Python libraries such as pandas, seaborn
This repo concerns a cluster analysis of mental health condition in tech industry
Repository containing reference notebooks for the Azure ML Python SDK and Databricks courses
This project is a classification problem. It is about whether a customer generates revenue or not. First, the problem is converted into unsupervised and then clustering algorithms like k-Modes and Hierarchical clustering are applied. After that, Categorical and Numerical Features are transformed to suit the classification algorithms. Feature Select
This ML Section 1 with python repository is really useful as a reference in learning Machine Learning for beginners and intermediate levels, therefore it is very good for learning fundamental principles. However, this is not yet an end-to-end learning process because it only models on train data and test data, excluding Exploratory Data Analyst, Fe
Building Recommender Systems with Machine Learning and AI (Lynda) | Applying Data Analytics in Marketing (Coursera) | Developing AI Applications on Azure (Coursera) | Managing Big Data with MySQL (Coursera)
Implemented two types of clustering methods, Lloyd’s algorithm (“k-means”) and hierarchical agglomerative clustering, on two datasets to compare their performance based on their clustering results.
Repository, with some blogposts and code for deploying machine and deep learning-based models in production.
Data Science Project
A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
A simple Machine Learning based web application using Flask and Scikit-Learn.
Project 5000
# Background
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
Minimal and clean examples of machine learning algorithms implementations
ref ---Machine Learning in Production
A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.
Resources for Machine Learning Operations with R
Free MLOps course from DataTalks.Club
Machine learning with Python and Azure Notebooks - based on Microsoft Learn
Data analysis and ML models for Bank Marketing Campaign - Classification Problem
The mobile expense tracking is built with Android Studio and Java. The app features password complexity and encryption. The app also allows multiple users to get access to the resource. Its function is fairly simple, Expense Tracking allows user to enter their expense in that month. Users can add items to the app and track how much and what they spend on that month. The app uses SQLite as its database. and content is stored directly on the phone.
Demystify Machine Learning Model Selection, a Step by Step Guide
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.