Convolve(Epoch-2)

We have multiple Problem Statements in this epoch out of which we have to chose any one and must continue with that PS for rest of the competition. The submissions will be carefully evaluated by the organizing team and best few teams will proceed to next epoch.

Problem Statement

Dataset

Prerequisites

• Natural Language Processing
• Random Forest Classification
• Hyperparameter Tuning

Libraries/Modules/Classes imported

• Numpy
• Pandas
• CountVectorizer
• OneHotEncoder
• ColumnTransformer
• LabelEncoder
• train_test_split
• RandomForestClassifier
• cross_val_score
• classification_report
• confusion_matrix
• GridSearchCV

We tried different Ml models like KNN, SVM, Kernel SVM,Random Forest and also applied Artificial neural network but we get best accuracy in RandomForestClassification which is 94.36%