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Working to gain more knowledge in ML
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Working to gain more knowledge in ML
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kasramojallal1/README.md

About Me

I am a machine learning engineer (+5 years) with a strong background in algorithms, deployment approaches and AI tools. My experiences range from ML/Deep Learning, NLP, cloud computing, MLOps and AI-related software development. I have also conducted research in federated learning and cyber security, focusing on privacy preserving AI. Beyond technical experiences, I bring proven leadership and teamwork skills from both volunteer and professional roles. My passion is learning more and contributing my knowledge to help companies thrive.

Skills

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  1. sentiment-analysis-playstore-imdb-reviews sentiment-analysis-playstore-imdb-reviews Public

    Various models were applied for sentiment analysis on various datasets in this research. RNN, LSTM, and Bert were the models. The datasets were google_play_store_reviews and IMDB_movie_reviews.

    Jupyter Notebook 4

  2. stocktrader-deep-reinforcement-learning stocktrader-deep-reinforcement-learning Public

    This is my BSc. Final Project which is about using Deep Reinforcement Learning for stock trading.

    Python 4

  3. breast-cancer-stage-prediction breast-cancer-stage-prediction Public

    This repository contains machine learning models for breast cancer tumor staging, leveraging SVM, Random Forest, AdaBoost, XGBoost, and ensemble methods to provide accurate and reliable staging pre…

    Jupyter Notebook

  4. bootcamp-machine-learning bootcamp-machine-learning Public

    This is the content for "Introduction to ML Boot-Camp" that I teach at Hermes-Capital academy.

    Jupyter Notebook 4

  5. machine-learning-concepts machine-learning-concepts Public

    In this repository, I practice different ML concepts and libraries. Examples: ada-boost, xg-boost, openai-gym, openai-stable-baselines, roc-auc plots and many more.

    Jupyter Notebook 9

  6. tensorflow-machine-learning tensorflow-machine-learning Public

    In this project, I implement different concepts with the help of TensorFlow. Examples: NLP, computer vision, regression, classification

    Jupyter Notebook 4