Real-World Machine Learning Projects Using TensorFlow
Machine learning algorithms and research are mushrooming due to their accuracy at solving problems. This course walks you through developing real-world projects using TensorFlow in your ML projects.
The initial project will deal with assessing the viability of expanding your Restaurant business using a single variable linear regression. You will use Linear Regression with multiple variables with an example involving buying and selling a property at the best prices and use a dataset containing 11 features to deal with it. Next, you will create an algorithm to detect anomalous behavior in server computers using Gaussian methods. Finally, you'll design and build a convolutional Neural Networks model on a Traffic Signal Classifier from scratch.
By the end of this course you will be using TensorFlow in real-world scenarios, and you'll be confident enough to use ML Algorithms to build your own projects.
About the Author
Mohamed Elsayed Mohamed Elhaj Abdou is a Junior Machine Learning and Software Engineer, specializing in Image Processing and Computer Vision applications. He has 4 years' research experience in Localization, and research interest's in SLAM, Building 3D environments and localizing a robot for indoor and outdoor use involving Computer Vision, Machine Learning, and Deep Learning. He also has 5 years' experience in designing and mentoring different projects in international competitions such as ROVs, minesweeper, and Quad Copters.