Problem Statement | Algorithms |
---|---|
1. Titanic Survival Prediction | Random Forest Classifier |
2. Iris Classification | Support Vector Machine |
3. Diabetes Classification | K Nearest Neighbor ( KNN ) |
4. Loan Status Prediction | Logistic Regression Decision Tree Classifier Random Forest Classifier KNN Classifier Voting Classifier ( Ensemble ) Ada Boost XGBM Light GBM |
5. Customer Segmentation (Multiclass classification) | Decision Tree Classifier Random Forest Classifier KNN Classifier |
6. Churn Prediction | Decision Tree Classifier Random Forest Classifier KNN Classifier |
7. Credict Card Fraud Detection | Decidion Tree Classifier Random Forest Classifier Neural Networks |
Problem Statement | Algorithms |
---|---|
1. Insurence Price Prediction | Linear Regression Decision Tree Regressor Random Forest Regressor Gradient Boosting |
2. House Price Prediction | Linear Regression |
Problem Statement | Algorithms |
---|---|
1. Headline Sarcasm Detection | Vanilla LSTM |
2. Text Preprocessing Techniques | |
3. Language Translator | Encoder-Decoder-Attention |
4. Multilabel Toxic Commit Classification | Convolution Neural Networks (CNN) |
5. IMDB Sentiment Classification | Basic Sequence Model |
6. Abstractive Review Summary | Encoder-Decoder Attention Model |
7. POS Tagging | Conditional Random Fields Model (CRRF) |
8. Named Entity Recognition (NER) | Bi-LSTM - CRF |
9. Intent Classification | BERT |
10. Email Spam Classification | Basic Sequence model |
11. Twitter Sentiment Analysis | LSTM |
12. Resume NER/Parser | Spacy Library |
13. CV Summarization | Spacy Library |
14. Text Summarization | Sumy Library |
15. Word Embeddings | Wordd2Vec Glove |
16. NEWS Category Classification | Basic Sequencial Model |
Problem Statement | Algorithms |
---|---|
1. Image Classification (Numbers data) | Bi-LSTM |