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  • Spiced Accademy
  • Germany - Berlin

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NadimSalameh/README.md
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👨‍💻 About Me :💻I am a Data Scientist from Lebanon living in Berlin-Germany.

  • 🔭 I am looking for a job in Data Science.

  • 🌱 Exploring Machine Learning, Deep Learning and requirements needed for a Data Scientist.

  • ⚡ In my free time, I try to do some competitions on Kaggle.

  • 📫How to reach me: Linkedin Badge


🛠️ Languages and Tools :

Python  Pandas  Jupyter Notebook  VScode  MySQL  mongoDB  Docker  AWS 

🔥 My Stats :

[GitHub Streak]

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  1. Real-Estate-Price-Prediction-Website Real-Estate-Price-Prediction-Website Public

    Build a model using Linear Regression for Banglore Home Prices dataset, then write a python flask server that uses the saved model to serve http requests, then deploy the app to the Cloud(AWS EC2)

    Jupyter Notebook

  2. Machine-Learning-Prediction-Service Machine-Learning-Prediction-Service Public

    Train a RandomForestClassifier for prediction making, save the model in a Binary file then create a REST API using Flask in a Docker container. When there is a prediction made, the Flask app respon…

    Jupyter Notebook

  3. Twitter-Data-Pipeline Twitter-Data-Pipeline Public

    Build a data pippeline that collect tweets and stores them in MongoDB. Next, the sentiment of tweets is analyzed and the annotated tweets are stored in PostgreSQL. Finally, the best or worst sentim…

    Python

  4. Blunder-Codingame Blunder-Codingame Public

    The objective is to write a program that will lead Blunder to always find the most money possible, wherever it is in a building with several rooms and each room with a pecific amount of money.

    Python 1

  5. Classification Classification Public

    In this project, we will use Logistic Regression as a machine learning model to predict passenger survival on the Titanic.

    Jupyter Notebook

  6. Text-Classification Text-Classification Public

    In this project, we will build a text classification model on song lyrics. The task is to predict the artist from a piece of text.

    Jupyter Notebook