Curriculum for this course
0 Lessons
00:00:00 Hours
Topics covered
- 1) Basics Of Machine Learning 2) Linear Regression 3) Logistic Regression 4) Decision Trees 5) Statistics & Distribution
- 6) Hypothesis testing 7) Supervised Learning 8) Unsupervised Learning 9) Reinforcement Learning 10) Probability and classification, Bayes optimal decisions
- 11) Naive Bayes and Gaussian class-conditional distribution . 11) Linear discriminant analysis 12) Principal Component Analysis 13) Learning Vector Quantization 14) Regularization methods:- Ridge,15) LASSO
- 16) K-Nearest Neighbors (KNN) 17) K means clustering 18) Dimensionality Reduction 19) Neural Networks
- 20) Concept of Agent in AI 21) Heuristic Search using Simple and Steepest hill climbing 23) Best First Search Algorithm 24) A* Algorithm
- 22) Apriori Algorithm (Association Rule) 23) Support Vector Machines
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Description
Lecture Schedule:
For India:Every Sunday afternoon : 3 pm to 6 Pm IST
For UK:Every Sunday Morning :10:30 Am to 1:30 Pm London time
For Middle East: Every Sunday afternoon: 1:30 pm to 4:30 Pm Dubai Time
Introduction video
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About the instructor
- 6 Reviews
- 180 Students
- 141 Courses
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Lead Instructor
Junkminds Team Comprises of highly qualified and skilled instructructors. Each topic is carefullychosen,analyzed and recorded for the maximum benefit of students.
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