AyorindeTayo

Amazon-Webscraping-App-Project

Python webscrapping

artificial-neural-network-to-predict-the-hardness-of-the-welding-duplex-stainless-steel

ANN

AyorindeTayo

Car-price-prediction-app

End to End machine learning project (Vehicle dataset Used Cars data form websites)

Covid-Analysis-

Hardness-App

Web app for Vickers Hardness Prediction for welded stainless steel. The features used for the predictions are the processing features for the metallic materials, like Welding Temperature, Welding Speed, Sintering Temperature

Hardness-prediction-Decision-tree

Machine-Learning-Deployment-with-Flask-React-and-NodeJs

Machine Learning APP for prediction of Diabetes probability using different features like BMI, Insulin, Skin Thickness, Blood Pressure.

Web-Scrapping-and-Sentiments-Analysis-of-Covid-19

Scrapping and Sentiments Analysis of Covid-19 data. This reserach show case the webscraping of COVID-19 Subvariant XBB.1.5 through twitter API. Secondly Sentiments analysis was carried out to check people's emotion on the variant of the COVID. form my analysis it was shown that people show or have more positive sentiments towards the virus .

Weight-Prediction-deployment-using-AWS_EC2_Instance-

Deploying machcine learning app on AWS EC2

AyorindeTayo/Hardness-App

Web app for Vickers Hardness Prediction for welded stainless steel. The features used for the predictions are the processing features for the metallic materials, like Welding Temperature, Welding Speed, Sintering Temperature

AyorindeTayo/AyorindeTayo

AyorindeTayo/Machine-Learning-Deployment-with-Flask-React-and-NodeJs

Machine Learning APP for prediction of Diabetes probability using different features like BMI, Insulin, Skin Thickness, Blood Pressure.

AyorindeTayo/AWS-MLOPS

The deployment of student score predicting app through AWS Elastic Beanstalk, AWS Codepipeline

AyorindeTayo/Azure-deployment

The machine App deployment was carried with the integration of AZURE and GitHub Actions

AyorindeTayo/Churn-Analysis-

The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling

AyorindeTayo/Complete-Data-Science-Materials

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.

AyorindeTayo/Data-and-Model-drift-monitoring-using-whylabs-

Data drift, Data Quality, and concept drift monitoring

AyorindeTayo/diabetes-python-app

AyorindeTayo/Econet_test

Test

AyorindeTayo/Fatigue-datasets-

Data on Fatigue life for Low Cycle Fatigue properties of Hot Rolled A6061-T6 (Al-1.0Mg-0.6Si)

AyorindeTayo/Lang-Chain-Chat-bot

Chatbot uisng LLM'S Langchain and Ollama

AyorindeTayo/LLMs-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

AyorindeTayo/machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

AyorindeTayo/Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

AyorindeTayo/ML-model-for-Product-recommendation-

Building a Machine Learning Model for Product Recommendations Using Customer Purchase Data

AyorindeTayo/MLflow-databricks-logging

Trackign model development, by comparing the statistical metrics after Hyperparameter tunning using MLflow Logs for best performed combinations.

AyorindeTayo/Mlflow-Project-

Using Mlflow to carry out Linear regression prediction for Wine Quality

AyorindeTayo/Mlflow-Remote-environment-setup-for-team-development-for-mlflowtracking

Training model and metadata logging on MLflow on local server

AyorindeTayo/MLOPS-Airflow-MLflow-Docker1

Automation of Iris flower classes Mlflow experimental loging and prediction

AyorindeTayo/MLOps-Basics

AyorindeTayo/MLOPS-End-to-End-project-

Building a full cycle of Machine learning Prediction App for Air quality

AyorindeTayo/mlops-zoomcamp

Free MLOps course from DataTalks.Club

AyorindeTayo/Pycaret-updated

AyorindeTayo/SageMaker1

Mobile price prediction using AmazonSagemaker

AyorindeTayo/Sentiments-analysis-of-major-airline-companies-data

Sentiments analysis

AyorindeTayo/Studentmlprojectregression

AyorindeTayo/Transparent-conductor-formation-energy-using-PyCaret-An-open-source-machine-learning-library

AyorindeTayo/Twitter-Sentiment-Analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

AyorindeTayo/Twitter-Sentiment-Analysis-about-ChatGPT

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.