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Passionate Data Scientist and Software developer
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Passionate Data Scientist and Software developer
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Keith-Mpala/README.md

Hi, I'm Keith 👋 👨‍💻

😄 About me

I'm currently a Masters student of Data Science and Business Analytics in my second year studies at the University of Warsaw

I am passionate about digital innovation. My goal is to use the data being collected in different domains and apply Machine Learning tools and techniques to create new solutions and improve business processes.

I am also a self-taught software developer and Python enthusiast who utilizes Python Frameworks such as Django and Flask to create efficient secure web applications.

🔭 Projects

✨ Favorites

  • Django web App for Machine Learning Models to Predict loan status Django web app
  • Topic Modelling on Amnesty International reports about Human Rights Violations in Qatar (3 series) Topic Modelling
  • Natural Language Processing Sentiment analysis on Celebrity interview texts (3 series) Sentiment Analysis
  • Deep Learning Models using Keras library and TensorFlow Classification problem
  • Deep Learning Models using Keras library and TensorFlow Regression problem
  • FinCred Credit Score Rating Agency using Django Framework (In progress)

🛠 Tools and Technologies

  •   Python R Studio

  •   Django Flask HTML5 CSS Postgres

  •   scikit-learn NLTK TensorFlow Keras Pandas NumPy Anaconda

  •   Visual Studio Code Jupyter Notebook

🌍 Find me on the Internet

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  1. Deep-Learning-Models-using-Keras-library-and-TensorFlow Deep-Learning-Models-using-Keras-library-and-TensorFlow Public

    Regression problem to predict house prices for Seattle Suburb sold between May 2014 and May2015

    Jupyter Notebook 1

  2. Natural-Language-Process-Celebrity-Interviews-Project-Part-2 Natural-Language-Process-Celebrity-Interviews-Project-Part-2 Public

    For Part 2 of this Project, we use advanced NLP techniques (Sentiment Analysis) that are designed for analysing Texual data

    Jupyter Notebook 1

  3. Topic-Modelling---Human-Rights-Abuses-in-Qatar-Part-3 Topic-Modelling---Human-Rights-Abuses-in-Qatar-Part-3 Public

    Using Latent Semantic Analysis (LSA) on Amnesty International Reports about Human rights Abuses in Qatar

    Jupyter Notebook 2

  4. Deep-Learning-Models-using-Keras-library-Classification-problem Deep-Learning-Models-using-Keras-library-Classification-problem Public

    Classification task with Keras library and TensorFlow. Dealing with overfitting through early Stopping Callbacks and Dropout Layers. Dataset used is a Breast Cancer diagnostic.

    Jupyter Notebook

  5. ML-Models-Loan-Prediction-using-Django ML-Models-Loan-Prediction-using-Django Public

    JavaScript 1

  6. Machine-Learning-Models Machine-Learning-Models Public

    Credit score Rating predictions using Regression models [Linear, Logistic, Ridge, Lasso], Support Vector Machine, Decesion Tree and Random Forest Regressors.

    Jupyter Notebook 1