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  • Accra-Ghana
  • 20:25 (UTC -12:00)

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grascya/README.md

👋 Hi, I'm Gracia

With three years of experience in software development and architecture, I am now pursuing a career in Machine Learning. As a results-oriented entry-level machine learning engineer, I have a strong foundation in developing and implementing machine learning models. I am a leader with a proven ability to deliver effective solutions.

🌐 Socials:

LinkedIn

💻 Tech Stack:

HTML5 CSS3 Java Python Windows Terminal YAML Azure Anaconda Apache Hadoop Flask FastAPI OpenCV Apache Airflow MySQL Postgres SQLite Canva Figma TensorFlow Scipy scikit-learn PyTorch Pandas NumPy mlflow Matplotlib Keras Git GitHub Docker Kubernetes

📊 GitHub Stats:

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  1. Forecasting-Electricity-by-Hour-RNN-vs-LSTM Forecasting-Electricity-by-Hour-RNN-vs-LSTM Public

    Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

    Jupyter Notebook

  2. Strength-of-Concrete-Prediction Strength-of-Concrete-Prediction Public

    Predict the compressive strength of concrete with maximum accuracy and lowest error (evaluation metrics MAE) , for various quantities of constituent components as the input

    Jupyter Notebook

  3. British-Airways-Customer-Reviews British-Airways-Customer-Reviews Public

    Scrape British Airways Customer Reviews, Analyse Reviews and draw insights.Build a predictive Model to Predict customer booking

    Jupyter Notebook

  4. Breast-Cancer-Detection Breast-Cancer-Detection Public

    Build classification models to predict whether the cancer type is Malignant or Benign.

    Jupyter Notebook

  5. Sms-Spam-Detection Sms-Spam-Detection Public

    This is a text corpus of over 5,500 English SMS messages with ~13% labeled as spam. The text file contains one message per line with two columns: the label ("ham" or "spam") and the raw text of the…

    Jupyter Notebook

  6. Sleep-Health_-Lifestyle-Dataset Sleep-Health_-Lifestyle-Dataset Public

    Classifier to predict the presence of a sleep disorder based on the other columns in the dataset.

    Jupyter Notebook