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vggls/README.md

❕ Interests/Keywords

  • A.I. : Machine/Deep Learning, eXplainable AI (XAI), Generative AI,
            NLP & Language Modeling, Computer Vision, Clustering, Time Series
  • Math : Mathematical Calculus, Linear Algebra, Matrix Theory, Probability Theory, Statistics

🏫 Education & Work experience 🧑‍💼

Detailed work and educational history is available at my LinkedIn profile

💻 Tech skills

  • Programming: Python
  • Database Management: PostgreSQL
  • Version Control: Git
  • Data Analysis Python Tools: Numpy, SciPy, Pandas, Seaborn, Matplotlib, Plotly
  • Machine/Deep Learning Python libraries: sklearn, sktime, Keras, PyTorch, transformers, NLTK, OpenCV, librosa, NiBabel
  • XAI Python libraries: lime, shap, pytorch-grad-cam
  • Big Data Processing: Azure Databricks, PySpark
  • MLOps tools: MLflow
  • Visualizations/Presentations: MS Power BI, MS Office Tools

Popular repositories

  1. Time_Series_Prediction Time_Series_Prediction Public

    ARIMA model, LSTM neural network and DMD algorithm

    Jupyter Notebook 6

  2. medical_xai medical_xai Public

    On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

    Jupyter Notebook 3

  3. text_classification_fetch_20newsgroups text_classification_fetch_20newsgroups Public

    SVM and BiLSTM classifiers

    Jupyter Notebook 1

  4. ML_algorithms_from_scratch ML_algorithms_from_scratch Public

    Jupyter Notebook

  5. Reinforcement_Learning_intro Reinforcement_Learning_intro Public

    Jupyter Notebook

  6. Speech_Emotion_Recognition_Classifier Speech_Emotion_Recognition_Classifier Public

    SVM classifier for speaker independent train-val-test sets

    Jupyter Notebook