README.md

Binary Classification and Multi-Class Classification

Details about Dataset

We have used two different datasets for the implementation

1. Income-Classification: https://www.kaggle.com/lodetomasi1995/income-classification
2. human activity recognition with smartphones: https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones

• The implementation was done using Pipeline, ColumnTransformer and OneHotEncoder to fit.
• Different algorithms with parameter tuning (RandomizedSearchCVand GridSearchCV) and cross-validation to classify the "price".

Algorithms for Binary classification

1. Logistic Regression
2. Support Vector Machines
3. Naïve Bayes
4. K-Nearest Neighbors

Algorithms for multi-class classification

1. Logistic Regression
2. OneVsRestClassifier with LogisticRegression
3. Support Vector Machines
4. OneVsOneClassifier with Support Vector Machines
5. Naive Bayes
6. KNN