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parham075/README.md

Hi 👋, I'm Parham Membari

Passionate student of Machine Learning and Data Engineering

Coding

parham075

ML Projects:

Project name Project name
Teaching Assistant at Sapienza university for NLP Course Kidney-Tumor-Classification-with-mlflow
NTA-LLM (No Teacher Assistant) Stock-Sentiment-Analysis-NLP
ICR-Identifying-Age-Related-Conditions NLP-Big-Data-Book-Classification

Big Data & Data Engineering:

Project name
COVID-19-ETL-Pipeline
big-data-computing
NLP-Big-Data-Book-Classification

CI/CD:

Project name
ML-Training-Jobs-Mlflow-MinIO-Kubernetes
argocd-app-config

IOT:

Project name
Plant-Watering

Connect with me:

parham-membari/ parham_mbr https://www.youtube.com/channel/uco32b4-uz0xhf0uoej2stuq

Languages and Tools:

arduino aws azure bash django docker elasticsearch gcp git hadoop heroku kubernetes linux matlab mongodb mysql opencv pandas postgresql postman python pytorch redis scikit_learn seaborn selenium sqlite tensorflow

Pinned Loading

  1. NLP-Big-Data-Book-Classification NLP-Big-Data-Book-Classification Public

    Forked from shemekhe/book-classification

    NLP-Big-Data-Book-Classification

    Jupyter Notebook

  2. COVID-19-ETL-Pipeline COVID-19-ETL-Pipeline Public

    Jupyter Notebook 1

  3. ML-Training-Jobs-Mlflow-MinIO-Kubernetes ML-Training-Jobs-Mlflow-MinIO-Kubernetes Public

    Common Workflow Language 1

  4. nlp-spam-classifier nlp-spam-classifier Public

    In this project, NLP techniques are used to process and analyze text data, extract relevant features, and build predictive models.The primary objective of the project is to develop a machine learni…

    Jupyter Notebook

  5. Kidney-Tumor-Classification-with-mlflow Kidney-Tumor-Classification-with-mlflow Public

    This project is the complete workflow of providing and maintaining the life cycle of a model using MLflow to classify Tumor which is detected in CT-Scan Images with deployment of the model

    Jupyter Notebook 1

  6. circuits-component-detection-yolo circuits-component-detection-yolo Public

    Formalization of circuits made of components and connections using Computer vision techniques to create a semi-automatic recognition system

    Jupyter Notebook