# Machine Learning

Machine Learning Algorithms, Deep Learning, CV, and NLP

- Evaluation Metrics in Keras
- Covariance in Time Series
- How to merge two dataframes x_test and y_pred?
- What is pickling and unpickling?
- What is Hierarchical Clustering?
- Bottoms-up approach in Hierarchical Clustering
- Random Forest - Low bias and Low variance
- What is Euclidean And Manhattan distances in KNN?
- Is it possible to conclude over-fitting over train data only?
- Identification of biased train and test scores
- How to read a correlation matrix?
- LogisticRegression.predict versus LogisticRegression.predict_proba
- Regularization Vs Standardization
- What is Pruning?
- Best Metric for Model evaluation in Classification
- Use of predict_proba to create an AUC ROC curve
- What is RBF kernel?
- Regression with SVM
- Imbalanced Classification - Model Bias Towards Majority Class
- Grid Search in Machine Learning
- Installing & Importing of Basemap in Google Colab
- Time Series - Vector Autoregression
- Parameters of GridSearchCV
- Impute missing values
- Extract features from date
- Should we standardize dummy variables?
- Logistic Regression Parameters
- Cross Entropy Loss
- AUC and Accuracy
- Standardization and Normalization