Overview

This model using Retrieval Task in TensorFlow Recommendation System to recommend user mounts destination and leveraging some features from the user such as age, gender, and level.

Requirements

1. Tensorflow
2. Tensorflow Recommenders
3. Keras
4. Numpy
5. Pandas

Installation

Run on Google Colab

1. Download this repository as a zip
   
2. Extract file .zip that you downloaded
3. Upload file .ipynb and folder dataset to your drive
4. Open file .ipynb you have been uploaded

Run on Local

1. Open command prompt or git bash and Clone this repository

git clone https://github.com/C23-PR591/Machine-Learning.git

2. Go to project folder

cd Machine-Learning

3. Open jupyter notebook

jupyter notebook

4. Adjust directory to read the dataset Example :

# from
df_mount = pd.read_csv('/content/drive/My Drive/dataset/datagunung_lvl.csv',delimiter=',')

# to this
df_mount = pd.read_csv('/dataset/datagunung_lvl.csv',delimiter=',')