"# ML_Course" Summer -19 Dept. of CSE, NEUB
New notebook will be added after every class.
CSE 455: Machine Learning Course Syllabus
[1.0] Basic Numpy Operation
[1.1] Linear Regression
[2.1] Logistic Regression (Binary)
[2.2] Logistic Regression (Multiclass)
[3.0] ML Terms
[4.0] Decision Tree
[5.0] Perceptron
[6.0] KNN
[7.0] [Random Forest]
[8.0] [Support Vector Machine]
[9.0] Naive Bayes Classifier
[10.0] K-Means clustering
[11.0] Principal Component Analysis
[12.0] Neural Network (Feedforward with Backpropagation)