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- Logistic Regression
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Classroom Contents
Machine Learning Course for Beginners - Theory
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- 1 - Introduction
- 2 - Decision Tree
- 3 - Random Forests
- 4 - Logistic Regression
- 5 - K-Nearest Neighbors KNN
- 6 - Support Vector Machines SVM
- 7 - Naïve Bayes
- 8 - K-Means Clustering
- 9 - Hierarchical Clustering
- 10 - Principal Component Analysis
- 11 - Linear Discriminant Analysis
- 12 - Apriori
- 13 - Eclat
- 14 - Artificial Neural Networks
- 15 - Convolutional Neural Networks
- 16 - Recurrent Neural Networks
- 17 - YOLO v1- v3 You Only Look Once
- 18 - YOLOv4 Object Detection
- 19 - Mask RCNN
- 20 - Pose Estimation - OpenPose
- 21 - DeepSORT Object Tracking
