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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently pursuing a master of Science in Medical Imaging and Applications so you would see me learning about medical image processing methods and technologies.

  • šŸ‘Æ Iā€™m looking to collaborate on data science projects, open source projects as well as projects for making education accessible to all students. I love writing and simplifying complex concepts for other learners, you shouldn't miss my next blog post on Medium.

  • šŸ¤” if you can recommend good content on Computer vision, feel free to drop the links

  • šŸ’¬ if you are curious about data communities in Ghana/Africa, health, and medical technology you sure know where to find me.

  • šŸ“« Medium, LinkedIn

  • šŸ˜„ Pronouns: she/ her

  • āš” Fun fact: I wish I could skip the commuting part of traveling.

Joana Owusu-Appiah's Projects

bmi_checker icon bmi_checker

this simple app is able to calculate BMI given a person's weight (kg) and height(cm)

country_territory_population icon country_territory_population

SQL project. Data is forked from (https://gist.github.com/pamelafox/ad4f6abbaac0a48aa781) and has been updated with my analysis.

ds_2.0_data_science. icon ds_2.0_data_science.

adapted from sololearn platform to give leaners an introduction to data science concepts data manipulation, analysis, visualisation, linear regression, logistic regression

famous_people icon famous_people

SQL project: the task was to create data of famous artists and describe what they do. Query the data created with SQL statements.

gitty icon gitty

used to practice git hub commands

group4_project icon group4_project

Group members learning and familiarizing with basic git concepts

joana-mansa icon joana-mansa

My personal repository to share with the world my interests and cool projects I would be working on.

monty_hall_assignment icon monty_hall_assignment

First assignment for Applied python class. The assignment required that we simulate the switch door strategy of the Monty hall game in python

multilayer_perceptron icon multilayer_perceptron

Attempting to reach a 96% accuracy on the MNIST dataset with MLP using basic techniques (increasing hidden layers and increasing neurons)

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