Discover @dynasty-29 Open Source projects

SonnieCodes (@dynasty-29)

dynasty-29

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Global Rank 735,127 (Top 26 %)
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Registered about 4 years ago
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C#
33.3 %

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HTML
26.7 %

ShaderLab 6.7 %
Location 🇰🇪 Kenya
Country Total Rank 2,245
Country Ranking

ShaderLab 4

C#
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Jupyter Notebook
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HTML
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Kaggle-BIPOC-Program-Projects

This is a collection of all projects run throughout the mentorship program

Jupyter Notebook

Housing_Price_project

A study on the factors that affect housing prices and creating a model that would allow the company to accurately predict the sale of prices.

Jupyter Notebook

Market-Target-Analysis

By identifying customers likely to subscribe to a term deposit beforehand to target through telemarketing campaigns specifically. The Geek Squad completed a capstone class project on telemarketing campaigns for a financial institution.

My_R_Journey

Teaching myself R

Productivity-Prediction-Project

Productivity project aims to build a model that can predict the level of productivity of employees in the garment industry.

Jupyter Notebook

-Carrefour-Marketing-Project

The project aim to inform the marketing department on the most relevant marketing strategies that will result in the highest no. of sales (total price including tax).

BalloonsBombandBooleans

Balloon Adventure is an exciting single-player game that challenges you to guide a colorful balloon through a maze of obstacles and collect coins while avoiding bombs.

plane-programming

plane programming project

SoccerScripting

My soccerScripting game

Calc-U-Lit

Calculator Project

PlayFetchGame

A refab of lay Fetch Game

Book-Genre-Classification

This repository goes over ways to classify book according to specific genre, we then go ahead and deploy on AMazon web service

Jupyter Notebook

Whack_food

Let's whack a food

MatchThree

Financial_iclusion_project

The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes.

Jupyter Notebook