In this Project, I have done the Data Exploration for a Dataset of 10GB worth of random images and created Training and Testing Datasets from that one big Dataset. Here, I experienced how to work with a big enough Dataset and how much time it can take and through that learned about how I can optimize my time while working with such a set.
In this Project, I have created a Machine Learning Algorithm through usage of the TensorFlow package. This also is a Project that uses image Data but on a much smaller scale. It is a Image Classification Prediction Algorithm that tells what is in the given image. I have managed to make the Algorithm more than 90% efficient on predicting the contents of the presented image. Working with TensorFlow made me more familiar with Regression Models.
In this Projects, I have gone through the Data Exploration Process of a Dataset containing the Dataset of AirBNB Customers. My first experience with Data Cleaning and the concept of Data Exploration as a whole. Really further expanded my horizons on how different types of Data interacts with each other in different DataFrames.