Decision Trees||Malayalam||Machine Learning Course||Part-22

Decision Trees||Malayalam||Machine Learning Course||Part-22
This part of "Machine Learning Course" in Malayalam gives the concept of Decision Trees used in Machine learning.A decision tree can be used to visually and explicitly represent decisions and decision making,as the name goes, it uses a tree-like model of decisions.

Course content:
1. Introduction to Machine learning- Need for AI/ML, why to learn AI/ML, machine learning types, supervised, unsupervised and reinforced learning, application, difference between Human thinking Vs Machine thinking, difference between programming vs Machine learning.
2. Mathematics for Machine learning- Trigonometry, linear algebra, matrices, calculus & probability.
3.Python for Machine learning- variables, different libraries needed for data science such as numpy, pandas, matplotlib, etc
4. Deep-dive into machine learning- How ML algorithm works, the concept of cost function and gradient descent, practical examples for linear regression and Classifications, ML Algorithms and its usage.
5.Introduction to OpenCV- Image/video processing with OpenCV
6. Face recognition- Building a security alarm system using ML techniques

#machinelearningmalayalam#datasciencemalayalam#decisiontrees

[mohammedirfan]

sir previous year concept in machine learning minor paper undo