Machine Learning for Beginners: Build A House Price Prediction Tool 🔮

Science fiction has done a great job of painting a scary image of Machine Learning. However, from Google to Facebook, Machine Learning is more ingrained in our daily lives than we think, and has become a big competitive differentiator for many companies. 💡

So what exactly is Machine Learning? 🤷‍♀️ Put simply, it is the development of computer programs that can access data, use it to learn for themselves, and then most accurately predict future outcomes.

Adventure into the fascinating world of machine learning, with our free Data Analytics workshop!

Together we will build a simple machine learning pipeline to solve a common regression problem: predicting house prices based on their features. We will be using Python, along with Pandas and the Scikit-Learn libraries, so have them ready and installed:

✅ Install Anaconda;
✅ Open jupyter notebook from the anaconda launcher;
✅ In a cell type !conda install -c anaconda scikit-learn and execute the cell;
✅ In another cell type !conda install -c anaconda pandas and execute the cell;
✅Type in another cell import sklearn and execute the cell, try the same with import pandas, if there is no error message your installation was successful!

If you didn’t get there, don’t give up! There are a lot of materials online that can help you out :)

Ready?!🙌