If we intend to leverage Python in order to perform machine learning, having some base understanding of Python is crucial. Fortunately, due to its widespread popularity as a general purpose programming language, as well as its adoption in both scientific computing and machine learning, coming across is not very difficult.
The objective of this course is to give you a wholistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.
Machine Learning Course is designed for students and professionals who want to learn Machine Learning in Depth.
- Data Preprocessing
- Logistic Regression
- K-Nearest Neighbors
- Support Vector Machine(SVM)
- Kernal SVM
- Nave Bayes
- Decision Tree Classification
- Random Forest Classification
for complete course content please register and download
Students will be provided with following credibility enhancement awards and documents.
- Aspirevision Tech Education Training Certificate.
- Internship/Project Letter (on successful completion of project).