Ayorinde Olanipekun, PhD (AyorindeTayo)

AyorindeTayo

Geek Repo

Company:Codedatawithayo

Location:Johannesburg

Home Page:https://www.codedatawithayo.com/

Twitter:@TayoOlanipekun

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Ayorinde Olanipekun, PhD's repositories

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

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AWS-MLOPS

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

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Azure-deployment

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

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Churn-Analysis-

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

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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.

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

Data drift, Data Quality, and concept drift monitoring

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data-engineering-zoomcamp

Free Data Engineering course!

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Fatigue-datasets-

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

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Lang-Chain-Chat-bot

Chatbot uisng LLM'S Langchain and Ollama

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LLM-Chat-Bot-design

LLM ChatBot design using Open Ai

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LLM-PDF-Analyzer

Analysing Pdf documents with RAG fine tuned LLM

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LLMs-from-scratch

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

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machine_learning_complete

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

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Made-With-ML

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

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ML-model-for-Product-recommendation-

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

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MLflow-databricks-logging

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

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Mlflow-Project-

Using Mlflow to carry out Linear regression prediction for Wine Quality

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

Training model and metadata logging on MLflow on local server

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MLOPS-Airflow-MLflow-Docker1

Automation of Iris flower classes Mlflow experimental logging and prediction

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MLOPS-End-to-End-project-

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

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mlops-zoomcamp

Free MLOps course from DataTalks.Club

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RAG-Application-

RAG application using Python, OpenAI API, and LangChain

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SageMaker1

Mobile price prediction using AmazonSagemaker

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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

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