Interested in the field of Machine Learning, Deep Learning and Artificial Intelligence? Then this course is for you!
This course has been designed by a software engineer. I hope with my experience and knowledge I did gain throughout years, I can share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.
I will walk you step-by-step into the Machine Learning, Artificial Intelligence and Deep Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time, we dive deep into Machine Learning, Deep Learning and Artificial Intelligence . Throughout the brand new version of the course we cover tons of tools and technologies including:
Artificial Intelligent In Healthcare.
Artificial Neural Network.
Generating a DNA Sequence.
Leaky Relu Function.
Exponential Linear Unit Function.
K-Nearest Neighbors Algorithms (KNN).
Support Vector Machines (SVM).
Importing library and data.
Deep feedforward networks.
Handling Missing Data And Anomalies in Python.
Visualizing Geolocation Data.
Understanding Machine Learning Algorithm.
Splitting Data into Training Set and Test Set.
Training Neural Network.
A Comparison Of Categorical And Binary Problem.
Make a Prediction.
NLP (Natural Language Processing).
NLTK (Natural Language Toolkit).
Linear Support Vector Machines.
RF with Response Coding.
Random Forest Classifier.
Maximum voting Classifier.
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are five big projects on healthcare problems and one small project to practice. These projects are listed below:
Predicting Taxi Fares in New York City
DNA Classification Project.
Heart Disease Classification Project.
Diagnosing Coronary Artery Disease Project.
Breast Cancer Detection Project.
Predicting Diabetes with Multilayer Perceptrons Project.
Medical Treatment Project.
And as a bonus, this course includes one extra big projects for each month.