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Hi there, friend👋 I’m Paul Treve

I call myself a machine learning engineer because I'm currently becoming one. I'm a Software Engineer specialising in Machine Learning and Data Science with Python; Frontend Development with React and Typescript; and Backend Engineering with Python.

I'm the tech boy who wants to do everything and make impact!

  • 📫 Contact me: here.
  • 👀 Fun fact about me: I'm a happy person by nature; mostly happy.
  • ⚡ I find maths, science and technology fascinating.
  • 🤝 Connect with me: • TwitterYouTubeLinkedIn

Tools and Technologies Used

  • Machine Learning & Data Science: • TensorFlow • Scikit-Learn • Pandas • Numpy • Jupyter Notebooks
  • Backend Engineering: • Django • Flask • Python
  • Frontend Engineering: • React • Jest • Typescript

📈 Stats



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Paul Treve's Projects

avantionary icon avantionary

This repository is actually suppose to answer a school mini-project. Nonetheless, it is a great project to take on. Meet avantionary: the best dictionary sort of app you can ever get.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

gui-stack-queue-practice icon gui-stack-queue-practice

A good way to understand, better, what you've learnt is to practice. This repository contains a GUI application written in PyQt5. It applies the concepts of stacks and queues to perform certain actions on inputs taken from the user.

identify-digit icon identify-digit

In this repository, I put all my work on developing a really good model that is capable of identifying digits from pictures; both handwritten and typed.

insurance-cost-prediction icon insurance-cost-prediction

Using machine learning algorithms to predict the cost of insurance of individuals based on certain attributes they posses.

kgl_spaceship_titanic icon kgl_spaceship_titanic

This repository documents my process of trying to find and train a really good model for the spaceship titanic dataset I found on Kaggle.

kgl_titanic_problem icon kgl_titanic_problem

This repository contains my notebooks and processes for solving the kaggle titanic problem on machine learning.

laugh-backend icon laugh-backend

What is Laugh: make a user laugh using a limited number of characters. Users get jokes as feed and can "laugh" at them as reactions. The number of laughs a joke gets can be likened to the number of likes.

laugh-frontend icon laugh-frontend

Make a user laugh using a limited number of characters. Users get jokes as feed and can "laugh" at them as reactions. The number of laughs a joke gets can be likened to the number of likes.

linear_regression_from_scratch icon linear_regression_from_scratch

Implementation of linear regression by applying gradient descent to get the right weights of the hypothesis that fits the data.

ml101 icon ml101

I created this repository as a beginner now learning machine learning. I will dump my small projects and practices here.

simit icon simit

An electronic circuit simulation software to serve as a GUI for NGSpice.

stock_price_prediction icon stock_price_prediction

This repository has basic machine learning concepts applied to a stock price dataset in order to forecast the future prices.

techware icon techware

This repository generates the #TechWordOfTheWeek words that the @AcesKnust Twitter account uses

theprice icon theprice

PyQt5 project that allows users to check for prices of projects they have already added to the software data. It also allows adding new items with their prices.

whats-next icon whats-next

A basic Django project. A to-do web application.

whatsapp-telegram icon whatsapp-telegram

A friend came up with the idea. I've taken up the challenge of making it possible using python programming. This repository has to do with sending information once and on only one platform and it getting transferred to other platforms.

wordle icon wordle

Command line version of the word game, WORDLE

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