Pinned Repositories
Bike-share-project
Data-Visualization
Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. This communication is achieved through the use of a systematic mapping between graphic marks and data values in the creation of the visualization.
Data_Analysis
Exploring datasets and then reprocessing them and clean the data, making them ready for any machine learning processes
Deep-Learning
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled
Machine-Learning-Supervised
Examples on how to use supervised learning algorithms to train the models
My_US_bikeshare_3rd_project
pdsnd_github
GitHub project (Project 3) repository for PDSND
Unsupervised_learning
Unsupervised learning is a type of machine learning that looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision.
US-Bikeshare-Data-project
US-BIKESHARE_PROJECT-3
Asma-Saad's Repositories
Asma-Saad/Unsupervised_learning
Unsupervised learning is a type of machine learning that looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision.
Asma-Saad/pdsnd_github
GitHub project (Project 3) repository for PDSND
Asma-Saad/My_US_bikeshare_3rd_project
Asma-Saad/US-BIKESHARE_PROJECT-3
Asma-Saad/Bike-share-project
Asma-Saad/US-Bikeshare-Data-project
Asma-Saad/usa-data-explore
In this project, I will explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. Using Python, I will write a code import the data and answer interesting questions about it by computing descriptive statistics. I will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Asma-Saad/Data_Analysis
Exploring datasets and then reprocessing them and clean the data, making them ready for any machine learning processes
Asma-Saad/Data-Visualization
Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. This communication is achieved through the use of a systematic mapping between graphic marks and data values in the creation of the visualization.
Asma-Saad/Machine-Learning-Supervised
Examples on how to use supervised learning algorithms to train the models
Asma-Saad/Deep-Learning
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled