Solving Regression Problem Using Neural Network

solve with "sklearn code"

install scikit-learn:

scikit-learn requires:

Python (>= 3.6)
NumPy (>= 1.13.3)
SciPy (>= 0.19.1)
joblib (>= 0.11)
threadpoolctl (>= 2.0.0)

If you already have a working installation of numpy and scipy, the easiest way to install scikit-learn is using pip

$ pip install -U scikit-learn

or conda:

$ conda install -c conda-forge scikit-learn

We use the prepare.py to correct the structure of the excel files:

$ python prepare.py data_1.csv data_1_out.csv 4 1

$ python prepare.py data_2.csv data_2_out.csv 4 1

Run the code on dataset number 1:

$ python3 solve_1.py

Run the code on dataset number 2:

$ python3 solve_2.py

If u want run the code on dataset number 1:

$ python3 keras_1.py

else for dataset number 2 open the keras_1.py and change

df = pandas.read_csv("data_1_out.csv") to df = pandas.read_csv("data_2_out.csv")

and save the file then:

$ python3 keras_1.py