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torturing data
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torturing data
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bluemutheu/README.md

Hi there 👋 meet Diana Mutheu an Associate Data Scientist at (Roche Pharma & BioTechnology Company)

  • 🔭 Currently working on data science projects using classical machine learning
  • 🌟 Checkout my technical articles on the Section Engineering Website
  • 🌱 I’m learning deep learning and computer visioning
  • 👯 Happy to collaborate on data-driven projects that impact the SDGs
  • 🤔 I’m looking for datasets in the Health Industry. (an update, checkout Cema, for some Kenyan datasets, you're welcome 😄)

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  1. DARA-Big-Data-Project DARA-Big-Data-Project Public

    The Sentiment analysis Attitude towards Covid-19 Vaccines in Africa Using Twitter data. All hackathon notebooks of the BIG DATA 2021 - Event held at TUK, sponsored by DARA Big Data, OAD and IDIA.

    Jupyter Notebook

  2. street-crime-analysis-group-project street-crime-analysis-group-project Public

    Forked from Linazk/street-crime-analysis-group-project

    Street Crime Analysis In England’s Major Cities Before and During COVID-19

    Jupyter Notebook

  3. Financial-Sector-Deepening-Kenya--Clustering-Problem- Financial-Sector-Deepening-Kenya--Clustering-Problem- Public

    The objective is to identify market opportunities to meet the needs of the financially underserved, this study uses FinAccess 2019 data to segment and profile adults in Kenya.

    Jupyter Notebook

  4. Business_Related_Projects Business_Related_Projects Public

    Credit Risk Management using ML Classification. Data aquired from Kaggle to analyze and determine the credit risk of an individual redit Score Cards are one of the common risk control methods in th…

    Jupyter Notebook

  5. Predicting-Ad-Clicks-Usings-Logistic-Regression-Model Predicting-Ad-Clicks-Usings-Logistic-Regression-Model Public

    Ad-clicks Prediction. User behaviour data that is classified to predict whether a user clicks an advert or not

    Jupyter Notebook

  6. Jovian-workshop Jovian-workshop Public

    The objective is to find a way to estimate the value in the "charges" column using the values in the other columns. If we can do so for the historical data, then we should able to estimate charges …

    Jupyter Notebook