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  1. Exploratory and predictive data analysis about the circumstances of personal injury road accidents in Great Britain between 2013 and 2017.

    Jupyter Notebook 1

  2. ... work in progress ...

    Jupyter Notebook 1

  3. Forked from learn-co-students/dsc-5-capstone-project-online-ds-ft-100118

    First I tried predicting the price with XGBoost by engineering features (e.g. calculating geo-distances, extracting sizes from text). Secondly, I conducted an EDA to address the question of what fa…

    Jupyter Notebook 1

  4. Forked from learn-co-students/dsc-4-final-project-online-ds-ft-100118

    After exploring and preprocessing text data, I built different Deep Neural Networks incl. a CNN, an RNN, and models with a pre-trained embedding layer using the GloVe method. Those models were capa…

    Jupyter Notebook

  5. Forked from learn-co-students/dsc-3-final-project-online-ds-ft-100118

    In this project, several different classification models such as Logistic Regression, Random Forest, XGBoost, and Support Vector Machine (SVM) were built, optimized, evaluated, and compared to pred…

    Jupyter Notebook

  6. Forked from learn-co-students/dsc-2-final-project-online-ds-ft-100118

    Statistical analysis and hypothesis testing - as for instance an independent and a Welch’s t-Test, a one-way-ANOVA and a two-way-ANOVA and a Chi-squared Test - were used to get analytical insights …

    Jupyter Notebook

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