In this project, we will participate in a competition on Kaggle. We will go through the whole process of creating a machine learning model on the famous Titanic dataset. The dataset used for this application comes from Kaggle. We are comparing 9 machine learning algorithmes to reach the best prediction model. This project could be found on Github

We are building a model for doing breed classification of a dog by just looking into its image and tracking the accuracy this model might be able to achieve. With modern machine learning frameworks like TensorFlow and pre-trained models for image recognition the task could be solved with a pretty good accuracy without applying too many efforts and spending too much time and resources. I am going to share the end-to-end process of building dog breed classifier using TensorFlow.