Khan's repositories
Vehicle-detection-using-deep-learning-with-Tensorflow-and-Python
This repository shows how to train a CNN model for detecting vehicles and other objects on streets
Frankincense-tree-detection-using-deep-learning-with-Tensorflow-and-Python
This repository is about how to train CNN model for identifying the agricultural species such as plants
camera-control-and-image-manipulation
The example shows the capability of python programming in image analysis and image manipulation.
Mobile-Application-for-Learning
The technology and tools included in the development of the app are Android Studio 2.3.1, PHP 5.5 scripting language, My SQL 5.5, and PHP My Admin. Android Studio 2.3.1 is an Integrated Development Environment (IDE) for developing mobile applications.
Natural-language-processing-web-scrapping
It extracts the frequency of terms used in the web pages, documents etc.
novelty-detetction
Showing outliers and novelty detection in a datasets, from Scikit-learn
project-management-tool
The development of successful software product requires systematic and defined steps. As far as M-Learning software development is concerned, a new software development process is required. Here, an automated software development process is designed based on the agile concept but \customized for Mobile learning application development (SDPML).
space-objects
Machine learning has found applications in Space and Astronomy. ASTROML will be used to identify the astronomical objects
titanic-passenger-survival
Predict passengers being dead/alive using titanic datasets. survival(0 = No, 1 = yes), pclass (1 = 1st, 2 = 2nd, 3 = 3rd). On April 15, 1912, RMS Titanic sank after colliding with an iceberg, resulting in the death of 1502 out of 2224 passengers and crew.