Pinned Repositories
-Data-Science-Intern-Challenge
Analysis-of-Accidents-in-the-United-Kingdom-in-2019
Analysis of accidents that occurred in the United Kingdom in the year 2019 in order to find factors that influence accidents and developing a machine learning model that can predict the severity of a casualties involved in accidents
Cyberbullying-Detection-using-Data-Augmentation-and-BERT
Developing machine learning model that can detect cyberbullying content from text using BERT
eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
freeCodeCamp-Machine-Learning-with-Python-Projects
A repository that contains the five projects I completed for my freeCodeCamp Machine Learning with Python certification.
JPMorgan-Chase-and-Co-Software-Engineering-Virtual-Experience
Memoz-Application
A note taking and reminders application
Prediction-of-the-Annual-Electricity-Generation-from-the-UK-Offshore-Wind-Farms
This aim of the project was to investigate the factors that influence the power generation of offshore wind turbines and develop a machine learning model that can find patterns in wind turbine data and make high precision forecasts for wind energy.
Sentiment-Analysis-Web-App
A program that determines the positive sentiment of text inputted by a user
Automated-Web-Application-for-predicting-high-impact-Forex-Economic-News-Release
This project entails the use of Beautiful soups and Selenium APIs to web-scrape an Economic News Release website of historic data of various interdependent news releases, loads (updates) these extracted and transformed data into an IBM DB2 database, and then applies classification and regression machine learning algorithms on the updated database, in order to predict the most impactful news releases in the Forex Calendar.
AbiyeDanagogo's Repositories
AbiyeDanagogo/eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
AbiyeDanagogo/Prediction-of-the-Annual-Electricity-Generation-from-the-UK-Offshore-Wind-Farms
This aim of the project was to investigate the factors that influence the power generation of offshore wind turbines and develop a machine learning model that can find patterns in wind turbine data and make high precision forecasts for wind energy.
AbiyeDanagogo/WT_fault_identification
Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data
AbiyeDanagogo/-Data-Science-Intern-Challenge
AbiyeDanagogo/Analysis-of-Accidents-in-the-United-Kingdom-in-2019
Analysis of accidents that occurred in the United Kingdom in the year 2019 in order to find factors that influence accidents and developing a machine learning model that can predict the severity of a casualties involved in accidents
AbiyeDanagogo/Automated-Web-Application-for-predicting-Forex-Economic-News-Release
This project is aimed at automating the process of predicting news releases that impact the forex market, by scraping the web for necessary data, analyzing and applying supervised machine learning algorithms on the data to make significantly accurate predictions.
AbiyeDanagogo/Cyberbullying-Detection-using-Data-Augmentation-and-BERT
Developing machine learning model that can detect cyberbullying content from text using BERT
AbiyeDanagogo/freeCodeCamp-Machine-Learning-with-Python-Projects
A repository that contains the five projects I completed for my freeCodeCamp Machine Learning with Python certification.
AbiyeDanagogo/JPMorgan-Chase-and-Co-Software-Engineering-Virtual-Experience
AbiyeDanagogo/Memoz-Application
A note taking and reminders application
AbiyeDanagogo/Sentiment-Analysis-Web-App
A program that determines the positive sentiment of text inputted by a user
AbiyeDanagogo/aws-deepcomposer-samples
AbiyeDanagogo/bert_attn_viz
Visualize BERT's self-attention layers on text classification tasks
AbiyeDanagogo/Election-Campaign-Application-Phase2
This project is the second phase of an intended bigger idea. This phase will focus on executing NLP algorithms and methods to answer the research questions raised in the first phase of the project in a more in-depth way.
AbiyeDanagogo/fund-distrib
Contains an implementation of two of the fundamental distributions widely used in statistics the Gaussian and Binomial distributions.
AbiyeDanagogo/Invasion
A simple game designed for devices running on Android created using Android Studio.
AbiyeDanagogo/Libgdx-Game-Untitled
An as of now untitled game that is still under development. Wriiten in Java and using the libgdx game engine and is made to be playable on pc and android devices.
AbiyeDanagogo/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
AbiyeDanagogo/Monopile-Fatigue-Estimation-From-Nonlinear-Waves-Using-Deep-Learning
Develop machine learning model that can capture the physics of wind and wave effects on monopiles using machine learning methods in order to create rapid assessments of fatigue to improve maintenance decisions for wind turbines.
AbiyeDanagogo/mslearn-ai900
Lab files for AI-900: Azure AI Fundamentals
AbiyeDanagogo/predicting-employee-attrition
AbiyeDanagogo/wind-power-forecasting-challenge
Wind Power forecasting for the day-ahead energy market - Data Challenge