abiyedanagogo Goto Github PK

-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

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.

aws-deepcomposer-samples

bert_attn_viz

Visualize BERT's self-attention layers on text classification tasks

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

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.

freecodecamp-machine-learning-with-python-projects

A repository that contains the five projects I completed for my freeCodeCamp Machine Learning with Python certification.

fund-distrib

Contains an implementation of two of the fundamental distributions widely used in statistics the Gaussian and Binomial distributions.

invasion

A simple game designed for devices running on Android created using Android Studio.

jpmorgan-chase-and-co-software-engineering-virtual-experience

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.

memoz-application

A note taking and reminders application

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

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.

mslearn-ai900

Lab files for AI-900: Azure AI Fundamentals

predicting-employee-attrition

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

wind-power-forecasting-challenge

Wind Power forecasting for the day-ahead energy market - Data Challenge

wt_fault_identification

Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data