Shedrack David (bakasheddy)

bakasheddy

Geek Repo

Company:Paritie Innovation Hub

Location:Nigeria

Home Page:https://bakasheddy.github.io

Twitter:@BakaSheddy

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Shedrack David's repositories

bakasheddy

Config files for my GitHub profile.

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BikeFlow-Investigating-User-Behavior-in-the-FordGo-Bike-Sharing-Network

The BikeFlow project is a comprehensive analysis of the FordGo regional public bicycle sharing system in California's San Francisco Bay Area. Using a dataset of over 2 million data points, the project aims to uncover usage patterns between the different user groups of the bike sharing system.

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Currency-Foreign-Exchange-Rate-Prediction

This a Capstone Project done by Team Pycaret in Hamoye Data Science Program Fall'22. ARIMA and Prophet model were used to forecast the closing price of currency exchange. An app was deployed with a friendly UI where users can easily make forecast on a currency pair of their choice, based on the available data used.

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DataTriad-Collecting-and-Analyzing-Data-from-Three-Unique-Sources

The objective of the project was to gather and load three pieces of data into a notebook using different methods for each data set. The first data set, WeRateDogs Twitter archive, was downloaded directly from udacity.com. The second data set, tweet image prediction, was downloaded using the Requests library. For the third data set, the tweepy API

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time-series-forecasting-of-electricity-prices-of-a-District

In this project, i explored and build time series forecasting model for measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years.

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What-makes-a-World-class-Tennis-Player-

This project was undertaken as part of a group effort at Hamoye, where I am currently completing an internship. The primary objective of this initiative was to promote collaboration and teamwork among colleagues. The project sought to explore the qualities and characteristics that distinguish world-class tennis players from their peers.

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ConCop

The objective is to develop a robust predictive model capable of accurately discerning fraudulent transactions from legitimate ones.

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Ethos-Hate-Speech-Dataset

This repository contains a dataset for hate speech detection on social media platforms.

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hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

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hate-speech-detector-based-on-hybridized-bert-attention-mechanism-and-context-analyzer

This project was done to develope a multiclass hate speech detector by using BERT, the LLM was trained on ethos multiclass hate speech dataset after augmentation using back translation was done.

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ImageClassification

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

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Olympic-Podium-Projections

This analysis aims to provide insights into the performance of countrys' athletes in modern Olympic games and offer a tool for predicting medal outcomes, thereby assisting stakeholders, including athletes, coaches, and sports enthusiasts, in making informed decisions and setting realistic expectations for future Olympic events.

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RetainMe-Predicting-Customer-Retention

This project was conducted to predict the possibility of churn among bank customers and analyze the various reasons why it may occur, as well as the circumstances surrounding their decision.

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streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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WhatATheme

A customizable Jekyll Portfolio theme which supports blogging.

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Whatsapp-analysis

A whatsapp groupchat analyzer which analyses chats of any whatsapp groups, works for both android and ios devices chats.

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