Machine learning is all about combining human intelligence with enormous computational power of computer to solve the problems that matters the most to the society. This course will teach you the end-to-end process of data analysis and DEEP machine learning, neural on it to create model for prediction.
Math for Machine Learning
Application development for ML
Image and Video Processing
Linear polynomial Algebra, Co-ordinate Geometry.
Applied Calculus, Applied Logarithm.
Discrete Structure, Function limits and Continuity.
Pre-Processing on Data set.
Learning setup introduction.
Supervised leaning setup, Linear Regression
Naive Bayes, Decision Tree Algorithm
Support Vector Machine, Face Detection
Model Selection, Debug learning algorithms.
Artificial Neural Network
Convolutional Neural Network
Recurrent Neural Network
Keras and TFLearn
Financial Market Analysis
Vehical counting openCV
Real time Audio Detection
Cancer cell detection