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>>> from people import developers
>>> from skills import versatile, shiftless
>>> def developer_attributes(name):
        """
            Returns attributes for name.
        """
        info = {}
        versatile_developers = versatile.good(developers.name)
        shiftless_developers = shiftless.bad(developers.name)

        #check versatile developers
        if name in versatile_developers:
            info.update(developers.skills.good[name])
   
        #check shifless developers
        if name in shiftless_developers:
            info.update(developers.skills.bad[name])
        return info
>>>
>>> Adele = developers('Adele', sorted(developer_attributes('Adele Chinda')))
>>>
>>> Adele.education
"Belgorod State University"
>>>
>>> Adele.major
"Applied Computer Science"
>>>
>>> Adele.degree
"Bachelors"
>>> Adele.interests
[
   "Artificial Intelligence", "Basketball", "AI Research", "Robotics programming", "Space Exploration"
]
>>>

Languages

Python Cpp Matlab Java Javascript dart csharp mysql xaml

Frameworks

WPF pyqt NET flutter UNITY React

Tools and IDEs

Tensor Flow workbench PyTorch Android Studio Eclipse Git Git Kraken GNU Octave Jupyter

Colab

Operating Systems

Ubuntu Linux Windows

Adele's Projects

airline_dbms icon airline_dbms

✈️ Airline Databse built with MySQL, C# and WPF framework

auto-correct-model icon auto-correct-model

An implementation of a spell checker that uses a corpus file to compute word probabilities and suggests corrections for misspelled words by applying edit operations like delete, swap, replace, and insert.

autonomous-vehicle icon autonomous-vehicle

Vehicle simulation using distance-sensors and a front radar in order to overtake the other vehicles controlled by SUMO.

book-recommendation-system icon book-recommendation-system

A Book Recommendation System that utilizes Python libraries such as numpy, pandas, seaborn, and matplotlib to recommend books based on user input.

dl-diabetes-prediction-model icon dl-diabetes-prediction-model

A Deep Learning Diabetes Prediction Model implemented as a Jupyter Notebook that employs various machine learning techniques to predict the likelihood of diabetes based on a set of features.

human-activity-recognition icon human-activity-recognition

Implementation of human activity recognition using a Convolutional Neural Network combined with a Long-Short Term Memory Network

kaggle-notebooks icon kaggle-notebooks

This repository contains a collection of Kaggle notebooks showcasing various data science and machine learning projects and competitions. Each notebook presents a comprehensive analysis of the dataset, explores different modeling techniques, and provides insights into the problem-solving process.

language-classification-system icon language-classification-system

A model that utilizes text data preprocessing, feature engineering, correlation reduction using PCA, and training a Decision Tree Classifier to classify languages based on input text data.

quadcopter icon quadcopter

Drone controller simulation with the DJI Mavic 2 PRO

rapido-project icon rapido-project

Prediction of future taxi order request based on 1 year of historical data

resume-screening icon resume-screening

This is a basic implementation of a resume screening model using machine learning techniques

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