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                          DATA SCIENCE VIDEO TUTORIAL







AUTHOR:



edureka!


VIDEO COURSE OUTLINE:


Chapter 1:   Introduction




Chapter 2:   Statistics




Chapter 3:   Basis of Machine Learning




Chapter 4:    Linear Regression




Chapter 5:    Logistic Regression




Chapter 6:     Decision Trees




Chapter 7:     Random Trees Forest



Chapter 8:      K Nearest Neighbor




Chapter 9:     Naive Bayes




Chapter 10:    Support Vector Machine




Chapter 11:     K-means clustering




Chapter 12:     Association Rule Mining




Chapter 13:    Reinforcement Learning




Chapter 14:    Deep Learning






Chapter 15:    Interview Questions



 Data Science Quiz and Test


 Data Science Examination and Certification

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