Ayorinde Olanipekun, PhD's Projects
Python webscrapping
ANN prediction
Aritificial-Neural-Network-of-Hardness-of-Wedded-DSS
ANN
The deployment of student score predicting app through AWS Elastic Beanstalk, AWS Codepipeline
Hardness and Wear rate data analysis
The machine App deployment was carried with the integration of AZURE and GitHub Actions
Quantum Computing
deploying a flask app to heroku
End to End machine learning project (Vehicle dataset Used Cars data form websites)
The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling
Image Classification
This is Krish Naik Sir's GitHub repository, which I forked. It contains comprehensive resources and materials for data science, including his YouTube video tutorials and open-source contributions.
Predict corrosion rate using Machine Learning
In this project the customers of an English eCommerce Company are segmented. The data belonging 2010 and 2011 are retrieved from "https://archive.ics.uci.edu/ml/datasets/Online+Retail+II". RFM analysis method is used to segment the customers.
Pulling data from BigQuery API to visualizing it in Flask app and also Dash, using NYC Tree Datasets
Data drift, Data Quality, and concept drift monitoring
Free Data Engineering course!
Datasets of Used Automobile
Data Wrangling of an Automobile Data set
Streamlit deployment Cloud to predict diabetes