EmHaEr/Big-Data-and-Deep-Learning-Implementation

Analyzed Big Data case for Car Dataset (Toyota) from Kaggle with Python (PySpark) and Jupyter as a tool programming using Supervised Learning with Naive Bayes Classifier, Logistic Regression, and Linear Regression for visualization data. Then, we've done doing Deep Learning Implementation too for Image Recommender with Python and Jupyter as a tool programming using Convolutional Neural Network (CNN) and VGG16 as an architecture.

Jupyter Notebook