1. Linear Regression - RMSE Score - 0.4739
2. Deep Learning (Neural nets) - Implement this
1. CountVector - 84.02%
2. TfIDf - 85.79%
3. Deep Learning (using Single-Label Binary Classification) - 88.3%
1. CountVector Written from Scratch - 62.45%
2. CountVector - 76.872%
3. TfIdf - 70.305%
4. Deep Learning (using Single-Label MultiClass Classification) - 83.041%
1. Handwriting Recognition - 98.06%
2. IMDB Sentiment Analysis - 84.84%
3. MultiClass Classification (NewsWires) - 78.3%
4. Boston Price Prediction - Implemented but Results not recorded
- Dataset specifics.
- Algorithm Specific
- Classification
- Regression
- Clustering
- Industry Applications
- NLP
- Churn Modelling
- Sales Forecasting
Links to Read: