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
This module will cover the key stages involved in building a comprehensive program. It also explains how to build and save a model such that you get the same results every time it is run and call a saved model to use it for predictions on unseen data.
This repository focused on statistical analysis and exploration used on various data sets for personal and professional projects. :chart_with_upwards_trend:
Training and deploying an ML model to predict whether or not an individual is likely to purchase car insurance. Creating a Flask API to serve the persisted trained model in a Docker container via Google Cloud Run, in order to make a prediction on a sample from the test set.
Simple php based carpool website which matches user based on their destination, route.
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
RStudio Cheat Sheets
Classification of Fetal State from Cardiotocogram Data with SVM, KNN & Decision Tree using Knime
Clean Room vs Messy Room Classification using Fast.ai. The model is just trained on 181 images.
Coding Ninjas Java Fundamental Course 2021-2022
full workig prototype of college management system using ml
GitHub Repository for storing the Coding files during various contests on Competetive Programming Websites. Currently Coding in PYTHON3
A complete PHP & MySQLi Login/Registration System with Profile editing & authentication System
A model that generates random recipes. Trained with 50+ Epicurious recipes.
Lectures for BYU Stat 223: Applied R Programming
This is the Covid1-19 detection program by using X-Ray Images. I used convolutional Neural Network and Deep Learning to train my model.
In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared a dataset of open sourced research papers. This data-set is a resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19, SARS- CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up and extract insight from this growing body work. The goal of this project is to use NLP and other machine learning algorithms learned in this course to develop a tool that can text-mine this database of research articles to gain useful insights about COVID-19 and how we might be able to tackle the outbreak, contain the spread and flatten the curve. The overarching insights that can be acquired from this dataset are numerous and which aspect of the problem you decide to tackle is up to you. For example you may choose to use this dataset to better understand the transmission, incubation and symptoms of COVID-19, look to gain insights around which therapeutics and vaccines may hold promise and warrant further investigation, or you may wish to investigate the risk factors that make COVID- 19 particularly deadly in some patients. The underlying goal of this project is to gain insights from this dataset to better inform how our healthcare system, government, industries can tackle this growing problem.
A ML model to predict Production of crop yields , on the basis of pattern recognition on the Crop_production dataset.
CRUD exercise using MySQL, Express, React and NodeJS
Material and notebooks for the Data Engineering course @ the GUC
First course of the Data Analysis Professional Program, Data Analysis: A Practical Approach for Absolute Beginners
Source code for the course: "Data Analysis with Python: Zero to Pandas".
Regression model, Unsupervised (K-means) and Supervised (KNN )Machine learning algorithms have been implemented in Python and R.
Data engineering progects, language SQL, Python, using SqLight, Colab
Udacity Data Engineering Nanodegree Capstone Project
Several examples of data transformation created in Google Colab or Jupyter Notebooks.
All Data Engineering notebooks from Datacamp course
Free Data Engineering course!
This repo contains an example about how to deal with a problem of classification using techniques from data analysis and machine learning
Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
This project is designed for helping enthusiasts get a hang of Data Science using Python. It breaks down the useful functions in packages like Numpy, Pandas, Matplotlib, Seaborn and Machine Learning Algorithms. There will be a project at the end of training.
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.