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Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

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bias cross-validation learning-curves metric-performance model-complexity model-tuning overfitting statistical-analysis underfitting variance

predicting-boston-housing-prices's Introduction

Hi there 👋

Diving

I am a Senior Performance Engineer @mongodb working remotely from Barcelona.

One thing that everybody should know about me is that I Love technology and learning. In the last few years I passed the following certifications and courses:

  • 🏴‍☠️ OSCP from Offensive Security
  • 🏴‍☠️ Ethical Hacker from Udacity
  • 🧑🏻‍💻 Cloud Devops Engineer from Udacity
  • ☁️ AWS Solutions Architect Professional from AWS
  • 📈 Tableau Desktop Qualified Associate from Tableau
  • 🤖 Artificial Intelligence from Udacity
  • 🤖 Deep Learning Foundations from Udacity
  • 🤖 Machine Learning Engineer from Udacity
  • 📊 Data Analyst from Udacity

and many many more. If you want to know more about me, or to get my contact details, please visit my website.

A part from technology I also scuba dive in my free time.

See you on the internet, or under the water!

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