Predicting baby weights with linear regression using Gradient Descent

Linear regression is perhaps one of the most well known and well understood algorithms in statistics and machine learning.

baby-weights-dataset.csv has baby weights:

• It has 35 features for each baby weight.
• It has 101400 records.
• The last column are the baby weights.
• data-description.txt has detailed explanation of each feature.

The linear_regression_SGD.ipynb is divided into two tasks

1. Preprocessing of Data & Data Analysis.
2. Implementing the linear regression using gradient descent.

Finally use the trained model on judge-without-labels.csv to predict the baby weights for unknown data.