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In this project, we will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value

HTML 73.36% Jupyter Notebook 25.77% Python 0.88%
data-analysis machine-learning matplotlib numpy pandas python3 scikit-learn

predictiing-boston-housing-prices's Introduction

Hi there 👋

I am a Data Science Practitioner, with strong knowledge of Data Structures, Algorithms, and data analysis techniques

  • 🌱 I’m currently learning Data Analysis onto production
  • 💬 Ask me about anything 😎
  • 🧑‍💻 I’m looking to collaborate on open source projects

Things I'm good at 🔥

Domain: Data Science, Data Wrangling, Data Visualization, and Data Warehousing.

Languages: Python, SQL

Framework: Flask, Django

Libraries & Tools: NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib, PyTorch, Tableau.

Reach me out at 📱


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