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  1. neural-network-model neural-network-model Public

    Deep learning task predicting whether applicants for funding will be successful. A neural network model was created using TensorFlow and Keras Tuner for model optimisation.

    Jupyter Notebook

  2. IMDB-sentiment-classification IMDB-sentiment-classification Public

    Collaborative team machine learning project classifying reviews scraped from the IMDB website as either positive or negative using sentiment classification. Tools used: BeautifulSoup and Splinter t…

    Jupyter Notebook 2

  3. supervised-machine-learning-model supervised-machine-learning-model Public

    Supervised machine learning model to predict whether a loan is high risk for 2020 data using 2019 data. Models used are the Logistic Regression and Random Forest using the library Scikit-learn.

    Jupyter Notebook

  4. unsupervised-machine-learning-model unsupervised-machine-learning-model Public

    Unsupervised machine learning model analysing and classifying cryptocurrencies in the current market into groups using PCA, t-SNE and K-means. Visualised outputs using scatterplots and an elbow plo…

    Jupyter Notebook

  5. UK-road-safety-analysis UK-road-safety-analysis Public

    Forked from Garywtne/Team_Project_One

    Collaborative project exploring UK road accident and vehicle data to determine which factors contribute to accident risk. Used libraries such as seaborn and matplotlib to visualise and analyse data…

    Jupyter Notebook