Apply RandomForest to new data
Budget: $10 – $30 USD
Attached you can find a short python machine learning Random Forest algorithm that predicts temperature data.
The code is successfully forecasting temperature data by using the "temps" data file used for training and testing.
Goal of this project is to add a piece of code that reads the "newdata" data file, applies the ML algorithm on it, and write the ML forecasted temperature in the "Actual" column
The script can run as follows: ipython RandomForestExplained3.py
Data files to be put into a folder called "data"
The code is successfully forecasting temperature data by using the "temps" data file used for training and testing.
Goal of this project is to add a piece of code that reads the "newdata" data file, applies the ML algorithm on it, and write the ML forecasted temperature in the "Actual" column
The script can run as follows: ipython RandomForestExplained3.py
Data files to be put into a folder called "data"