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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

analytics_dash_dashboard

This is capstone project that includes building data visualization dashboard using plotly dash in python

anomaly-detection-using-rnn-lstm_autoencoders

baltimore-project-using-regex

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.

cat-and-dog-image-classification

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

challenges

cmappy

Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

codingbat

Solutions to CodingBat problems

cs

A compilation of all my Computer Science work done at Grand Valley State University

data-engineering-nanodegree

Projects done in the Data Engineering Nanodegree by Udacity.com

data-modelling-with-apache-cassandra

datamodelling_using-postgresql

The aim of this project is to create a Postgres database with tables designed to optimize queries on song play analysis.

datascience_work_sample_assessment_techpoint

Exploratory and Geographic analysis on Foodie Dataset - A Work Sample Assessment

deep-learning-for-hackers

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)

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dend-3-data-warehouse-project-udacity

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.

dog-breed-classification-project_udacity

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.

film_script_analysis

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.

high-perfomance-computing-projects-cis677

This repo includes projects from high performance computing course - CIS 677 in GVSU

imageclef_concept_detection

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.

implementing-data-warehouses-on-aws-udacity

Implementation of data warehouses using Amazon Redshift

lincs-profiling-comparison

Analyzing and comparing signal found in different profiling technologies

machine-learning-with-text-in-python-course

This is the repository for the machine learning course I participated in recently.

multiclass-classification-takehome-assignment

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

myresume

Adeniyi's Resume

optimizing-chicago-public-transport-transit

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.

pipeline-examples

Example pipelines for training purposes

predictive-analytics--for-house-prices

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.

project-dog-breed-classifier

Udacity dog breed project.

project_plagiarism_detection

The aim of this project is to create / build a plagiarism detector that can distinguish between a plagiarized and non-plagiarized text.