developerrsam / predict-boston-housing-prices_-udacity-nd-project-

In this project, you will apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home. You will first explore the data to obtain important features and descriptive statistics about the dataset. Next, you will properly split the data into testing and training subsets, and determine a suitable performance metric for this problem. You will then analyze performance graphs for a learning algorithm with varying parameters and training set sizes. This will enable you to pick the optimal model that best generalizes for unseen data. Finally, you will test this optimal model on a new sample and compare the predicted selling price to your statistics.

Hi there 👋

Here are some facts about me:

• 😊 Hello folks, This is Rahul Samantara.
• 🔭 I’m currently working on various projects for different companies.
• 🌱 I’m currently learning back-end and state management tools.
• 👯 I’m looking to collaborate on anything related to flutter and dart.
• 💬 Ask me about anything related to tech(especially Flutter ❤).
• 📫 How to reach me: mailto:[email protected]
• ⚡ Fun fact: I am a fun loving guy with creative tech skills.