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Name: Adeniyi Adeboye
Type: User
Bio: Curious and Resourceful Data Scientist
Location: Grand Rapids, MI
Name: Adeniyi Adeboye
Type: User
Bio: Curious and Resourceful Data Scientist
Location: Grand Rapids, MI
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
This is capstone project that includes building data visualization dashboard using plotly dash in python
This project/exercise utilized regular expression (Regex) for extraction of important information from unstructured html scraped webpage and further extracted features and explored their relationships through data visualization.
This project is geared towards understanding the importance of using the State-of-the-art image classification models on your own small image classification problem
Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
Solutions to CodingBat problems
A compilation of all my Computer Science work done at Grand Valley State University
Projects done in the Data Engineering Nanodegree by Udacity.com
The aim of this project is to create a Postgres database with tables designed to optimize queries on song play analysis.
Exploratory and Geographic analysis on Foodie Dataset - A Work Sample Assessment
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
The aim of this project is to build an ETL pipeline that extracts data from S3, stages them in Amazon Redshift, and transforms data into a set of dimensional tables for song analysis, in order to find insights in what songs users of sparkify app are listening to.
This project entails building a deep learning model using CNN from scratch and through transfer learning for the purpose of performing dog breed classification and further building an algorithm that incorporates this model as a tool for Dog identification.
The aim of this project is to provide detailed insights into different movies analyzed focusing on the characters, their dialogues, scene locations, emotional and sentiment analysis of the whole movie and the individual characters, character's interaction with one another and finally gender distribution in the each movie analyzed.
This repo includes projects from high performance computing course - CIS 677 in GVSU
The aim of this task is to automatically select medical concepts related to each image, as a first step towards generating image captions, medical reports, or to help in medical diagnosis.
Implementation of data warehouses using Amazon Redshift
Analyzing and comparing signal found in different profiling technologies
This is the repository for the machine learning course I participated in recently.
This project was geared towards performing a multiclass classification task on an imbalanced multiclass data with large amount of columns thats also needs to be reduce
Adeniyi's Resume
In this project, you will construct a streaming event pipeline around Apache Kafka and its ecosystem. Using public data from the Chicago Transit Authority we will construct an event pipeline around Kafka that allows us to simulate and display the status of train lines in real time.
Example pipelines for training purposes
This project is geared towards predicting house prices using advanced regressor models and this was carried out through extensive data exploration with the use of advanced data visualization libraries such as Seaborn and Plotly, and the use of regularized regression models such as Ridge, Lasso, Elastic Net Regressor and Ensemble models such as RandomForest, XGBoost, Gradient Boost to predict house prices in Ames, Iowa and further engineer features that will help optimize the models performance.
Udacity dog breed project.
The aim of this project is to create / build a plagiarism detector that can distinguish between a plagiarized and non-plagiarized text.
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.