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Machine Learning

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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
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