- Description
The course covers Machine Learning in exhaustive way. The presentations and hands-on practical are made such it’s made easy. The knowledge gained through this tutorial series are often applied to varied world scenarios.
UnSupervised Learning and Supervised Learning are dealt in-detail with many bonus topics.
The course contents are given below:
Introduction to Machine Learning
Introductions to Deep Learning
Installations
Unsupervised Learning
Clustering, Association
Agglomerative, Hands-on
DBSCAN, Hands-on
Mean Shift, Hands-on
K Means, Hands-on
Association Rules, Hands-on
Supervised Learning
Regression, Classification
Train Test Split, Hands-on
k Nearest Neighbors, Hands-on
kNN Algo Implementation
Support Vector Machine (SVM), Hands-on
Support Vector Regression (SVR), Hands-on
SVM (non linear svm params), Hands-on
SVM kernel trick, Hands-on
SVM mathematics
Linear Regression, Hands-on
Gradient Descent overview
One Hot Encoding (Dummy vars)
One Hot Encoding with Linear Regr, Hands-on
Info about Datasets
Who this course is for:
python programmers, C/C++ programmers, working of scripting (like javascript), fresh developers and intermediate level programmers who want to find out Machine Learning
