This project was created when I take a practicum on campus
There are two files the first is when I take the practicum (Image Prediction)
And the second file is when I take the practicum exam (RNN folder)
This prediction is about how to predict the depixelated image
- Keras
- Tenserflow
- Numpy
- Matplotlib
- Google.colab
- Python
for the dataset we use the cifar10 dataset which has been prepared by the keras module
This prediction is about how to predict google stock price
- Pandas
- Keras
- Numpy
- Matplotlib
- Google.colab
- Python
for the dataset we use google_stock_price.csv and google_stock_price_train.csv that i uploaded in the RNN folder