Knowledge in Machine learning
kaggle titanic competition code
kaggle titanic competition code with feature engineering done on the data set it gave 79.8% accuracy while checking on test data set
Shyamal Krishna Agrawal
Extracting equation of linear regression
Extracting equation of linear regression using python code
OMR sheet evalution
OMR sheet evalution code in python by taking the omr image path as a input
Simple Linear Regression from inbuilt library
Simple Linear Regression from inbuilt library i.e. from sklearn.linear_model
Simple Linear Regression from scratch
Simple Linear Regression from scratch
Polynomial Regression from inbuilt library
polynomial regression from inbuilt library i.e. from sklearn.preprocessing library
Polynomial Regression from scratch
Polynomial Regression from scratch
Logistic Regression from inbuilt libraries
logistic regression from inbuilt libraries i.e. from sklearn.linear_model library
Support Vector Regression from inbuilt libraries
support vector regression from inbuilt libraries i.e. from sklearn.svm library
Decision Tree Regression from inbuilt libraries
Decision Tree Regression from inbuilt libraries i.e. from sklearn.tree library
Random Forest Regression from inbuilt libraries
Random Forest Regression from inbuilt libraries i.e. from sklearn.ensemble library
Support Vector Machine (SVM) from inbuilt libraries
Support Vector Machine (SVM) from inbuilt libraries i.e. from sklearn.svm library