- Dimensionality Reduction
- PCA
- t-SNE
- Data Preprocessing
- Standardization
- Normalization
- Text Preprocessing
- tf-idf
- Bag of Words
- Word2Vec
- Classification
- Binary
- Multi-Class
- Regression
- Algorithms
- Linear Regression
- Logistic Regression
- K-Nearest Neighbors
- Naive Bayes
- Support Vector Machines
- Tree Algorithms
- Decision Trees
- Random Forests
- Gradient Boosting Decision Trees
- Metrics
- Confusion Matrix, TPR, FPR, FNR, TNR
- Accuracy
- Precision and Recall, F1 Score
- Log Loss
- AUC ROC Curves
- MSE, MAE, MAD
- Tensorflow
- Keras
- Backpropagation
- Gradient Descent
- Batch Gradient Descent
- SGD
- Multi-Layered Perceptrons
- ConvNets
- Recurrent Neural Networks
- LSTM
- GRU
- Biderectional RNN's
- Hyperparameter Tuning
- Optimization
- adam
- RMS Prop
- adaGrad
- RMS
- Tranfer Learning