Machine Learning (6 Months)

Syllabus for Machine Learning Course

1.  Introduction to Python
2. Python Data Structures
3.  Python Functions
4.  Numpy, MatplotLib and PANDAS
5.  Exploratory Data Analysis
6.  Linear Algebra, Probability and Statistics
7.  Dimentionality Reduction
8.  Principle Component Analysis
9.  Distributed Stochastic Neighbourhood Analysis
10.  Classification and Regression Models
11.  Performance Measurements of models
12.  Naïve Bayes
13.  Logistic Regression and Linear Regression
14.  Support Vector Machines
15.  Decision Tree
16.  Ensemble Models
17.  Learnings – Supervised and unsupervised
18.  Clustering Techniques
19.  Recommendation System
20.  Deep Learning – Neural Networks
21.  Multilayer Perceptrons
22.  Tensorflow and neutral Networks
23.  Case Studies and Projects

Duration – 6 months – 2 Classes per week – Total 6 Hours (Saturday & Sunday)

NOTE :

• After purchasing this course your account will be activated within 2 hour.
• If you opt for Hard Disk or Pen Drives, It will dispatch within 3 working days.
• This course is designed for 6 months of Access only to our videos, after that your access will deactivate automatically if renewal /upgradation not perform. For details call us at +91 9821876104.