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  • Metro Markets GmbH
  • Düsseldorf, Germany
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nafisa-samia/README.md
  • Hi 👋, I'm Nafisa Anjum Samia

  • 🔭 I’m currently working as Data Scientist

  • 🌱 I’m learning Data Science and Machine Learning

Connect with me:

nafisa-anjum-samia nafisaanjumsamia samia.nafisaanjum nafisa_anjum_samia

Languages and Tools:

python pandas postgresql scikit_learn seaborn tensorflow css3 git html5 mongodb nodejs opencv

Pinned

  1. One-Shot-Learning-Face-Recognition-using-Siamese-Neural-Network One-Shot-Learning-Face-Recognition-using-Siamese-Neural-Network Public

    I developed this project while working with my Machine Learning Instructor at Hochschule Rhein-Waal

    Jupyter Notebook

  2. Automobile-Price-Prediction-using-Linear-Regression Automobile-Price-Prediction-using-Linear-Regression Public

    Predict the vehicle price from the open source Auto data set using linear regression. In this data set, we have prices for 205 automobiles, along with other features such as fuel type, engine type,…

    Jupyter Notebook 5 3

  3. A-streamlit-app-to-predict-customer-purchase-using-ML-model A-streamlit-app-to-predict-customer-purchase-using-ML-model Public

    A Machine Learning model that predicts the customer's possibility of purchase using historical data.

    Jupyter Notebook 2 2

  4. Credit-Card-Fraud-Detection-Dealing-with-Imbalanced-Data Credit-Card-Fraud-Detection-Dealing-with-Imbalanced-Data Public

    This project is based on supervised machine learning where you will be predicting whether a credit card transaction is original transaction or fraud transaction based on various parameters. This is…

    Jupyter Notebook

  5. Face-Recognition-using-Unsupervised-Semi-supervised-ML Face-Recognition-using-Unsupervised-Semi-supervised-ML Public

    Forked from kuntala-c/Face-Recognition-using-Unsupervised-Semi-supervised-ML

    Face Recognition Algorithm using Unsupervised and Semi-supervised techniques using Olivetti faces dataset

    Jupyter Notebook 1

  6. Using-Regression-Algorithm-Combined-Cycle-Power-Plant-Energy-Prediction Using-Regression-Algorithm-Combined-Cycle-Power-Plant-Energy-Prediction Public

    We will design a predictive model to predict the full-load power output of the Combined Cycle Power Plant Dataset from UCI ML repository and evaluate the performance of the model.

    Jupyter Notebook 1 1