PART 1 - Introduction
We can wonder a couple of questions about golf sport and data we start to gather as amateur or non-professional golfer:
how can I hit my Driver or golf clubs longer?
which are the parameters that...
PART 2 - The dataset and first exploration
After hitting golf balls with our fairway wood golf club (3 wood) on the driving range, we got data and we need to select the relevant ones.
So we have decided...
PART 3 - Find the relevant features and model for predicting the best carry distance of golf ball
KNN (K-nearest-neighbors) method for features ranking and error analysis
Now we need to do the features ranking for predicting the golf...
PART 4 - Predict the carry distance of the golf ball using the relevant features and model
Linear Regression method for prediction
Features selected regarding coefficient threshold
To predict the golf ball carry distance regarding our 3 wood golf club...