Knowledge in Machine learning
K-Nearest Neighbors from inbuilt libraries
K-Nearest Neighbors made from inbuilt libraries it is a classification model of machine learning
Shyamal Krishna Agrawal
Kernel SVM from inbuilt libraries
Kernel SVM made from inbuilt libraries. It is a classification model of machine learning
Gaussian Naive Bayes from inbuilt libraries
Gaussian Naive Bayes made from inbuilt libraries. It is a classification model of machine learning.
Decision Tree Classifier made from inbuilt libraries
Decision Tree Classifier made from inbuilt libraries. It is a classifier model of machine learning.
Random Forest Classifier made from inbuilt libraries
Random Forest Classifier made from inbuilt libraries. It is a classifier model of machine learning.
K-Means Clustering form inbuilt libraries
K-Means Clustering made form inbuilt libraries. It is a clustering model of machine learning.
Hierarchical Clustering form inbuilt libraries
Hierarchical Clustering made form inbuilt libraries. It is a clustering model of machine learning.
Face detection using python
Face detection code in python language made by using face_cascade.xml file. face_cascade.xml is used for making green box around faces.
Eye Detection using python
Eye Detection program made using python with the help of haarcascade_eye.xml. haarcascade_eye.xml is used for making green boxes around eyes.
Image Segmentation using python
Image Segmentation made using python language. Segmenting an image means making border for each object of a image.
Recursive Feature Elimination (RFE)
Recursive Feature Elimination (RFE) is a feature that recursively removes features and builds a model using the remaining attributes and calculates model accuracy.
Principal Component Analysis (PCA)
Principal component analysis is a statistical technique that is used to simplify the model by analyzing the interrelationships among a large number of variables and to explain these variables in terms of a smaller number of variables, with a minimum loss of information.