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NinaGuben/README.md

About Me ๐Ÿ™

How I Discovered My Interest In Python ๐Ÿ‘€

  • I completed my Bachelor's, Master's, and Doctoral thesis in microbiology, molecular biology and biochemistry. ๐Ÿงช
  • My main research interest is structural biology, focusing on solving the atomic structures of proteins that play key roles in human pathogens. ๐Ÿฆ 
  • The technique I specialized in is Nuclear Magnetic Resonance NMR, which utilizes atomic spins to analyze molecular structures. ๐Ÿงฌ
  • While working with NMR programs, I was introduced to Python and a whole new world opened up for me ๐ŸŒ

What I Am Currently Learning ๐ŸŒฑ

  • After completing multiple python courses, my enthusiasm for programming continues to grow ๐Ÿค“
  • Recently, I delved into the field of Data Science and am currently enrolled in a Data Science diploma program ๐Ÿ“ˆ

What I Am Looking For ๐Ÿ”ฎ

==I am eager to combine my expertise in biosciences with programming and pursue a career at the intersection of these fields==

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  1. Machine_Learning_for_Breast_Cancer_detection Machine_Learning_for_Breast_Cancer_detection Public

    using the sklearn dataset 'breast_cancer' we analyze three ML algorihtms: kNN, Random Forest and Logistic Regression.

    Jupyter Notebook

  2. An_SQL_Python_Data_Analysis An_SQL_Python_Data_Analysis Public

    Analysis of a fictive data set using SQL and Python to find out customer's preferences

    Jupyter Notebook 1

  3. Get_latest_news_analyze_and_plot Get_latest_news_analyze_and_plot Public

    This notebook uses inputs from the user to fetch news descriptions according to a keyword and analyzes the text. It outputs the most abundant ten words and shows it in a plot

    Jupyter Notebook 1

  4. Titanic Titanic Public

    Titanic Survivors: A Data Analysis

    Jupyter Notebook 1

  5. weather_austria weather_austria Public

    This script outputs current information about the weather in Austria. Just select a station ID and a parameter you want to know.

    Python

  6. image-recognition-with-CNN-TensorFlow- image-recognition-with-CNN-TensorFlow- Public

    We use the open image dataset "cifar10" for training an CNN model in recognizing the images classes.

    Jupyter Notebook