Course curriculum

  • 1

    ML Breath

    • [Amazon] Variance-Bias Trade-Off

    • [Amazon] Cross-Validation

    • [Google] Multicollinearity

    • [PayPal] Imbalanced Labels

    • [Amazon] The Curse of Dimensionality

    • [Uber] Explain AUC

    • [Google] Model Evaluation

    • [Amazon] Underfitting and Overfitting

    • [Capital One] Feature Selection

    • [Amazon] Euclidean and Manhattan Distances

    • [Capital One] Handling Missing Values

    • [Google] Regression Model Metrics

    • [Amazon] Hyperparameter Tuning

    • [Uber] L1 & L2 Regularization

    • [Salesforce] Outliers in Modeling

    • [C3.ai] Model Building End-To-End

    • [Meta] Feature Engineering

    • [Amazon] Handling Categorical Variables

    • [Amazon] Model Ensembling

    • [Microsoft] Text Features

  • 2

    ML Algorithm

    • [Intuit] Logistic Regression Pseudocode

    • [Meta] Decision Tree Pseudocode

    • [PayPal] Random Forest vs Logistic Regression

    • [Amazon] Bagging vs Boosting

    • [Meta] How Is the random forest model trained?

    • [Intuit] Variance & Bias in Trees

    • [Salesforce] K-Means on Scaled and Unscaled Data

    • [Microsoft] Principal Component Analysis

    • [Microsoft] K-Means

    • [Microsoft] Finding Optimal K in K-Means

    • [Google] How do you evaluate regression modeling?

    • [Apple] KNN Pseudocode

    • [Amazon] GBTs Pseudocode

    • [Amazon] GBTs Hyperparameters

  • 3

    Deep Learning

    • [PayPal] Activation Functions

    • [Google] Normalization

    • [Google] Optimizers

    • [Google] Tuning Dense Neural Networks

    • [Microsoft] Gradient Descent

    • [Microsoft] Backpropagation

    • [Amazon] Neural Network Overfitting

    • [Intuit] Encoder-Decoder

    • [Google] RNN vs CNN

  • 4

    ML Production

    • [PayPal] Prediction Point

    • [Google] Online vs Offline Model Performance

    • [Intuit] Model Deployment on AWS

    • [Capital One] Model Deployment Challenges

    • [Capital One] Model Failure in Production

    • [Intuit] Kubernetes in Model Deployment

    • [Intuit] Model Orchestration