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Posts

  • Likelihood Estimation

    In this post, We will review the process of Likelihood Estimation. Through this post, we will optimize Poisson Regression with gradient descent algorithm and Newton-Raphson methods.

    Jun 16, 2021

  • Model Selection

    In this post, We will review the process of model selection through Cross Validation.

    Jun 13, 2021

  • Linear Discriminant Analysis (LDA)

    In this post, We will implement the basis of Linear Discriminant Analysis (LDA).

    Jun 9, 2021

  • Classification Model

    In this post, We will cover the use case of Classification model including Logistic Regression through StatsModels and scikit-learn.

    May 27, 2021

  • Linear Regression Model

    In this post, We will cover the use case of Linear Regression Model through StatsModels and scikit-learn.

    May 20, 2021

  • REINFORCE on CartPole-v0

    In this post, We will take a hands-on-lab of Monte Carlo Policy Gradient (also known as REINFORCE) on openAI gym CartPole-v0 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.

    May 12, 2021

  • Cross-Entropy Methods (CEM) on MountainCarContinuous-v0

    In this post, We will take a hands-on-lab of Cross-Entropy Methods (CEM for short) on openAI gym MountainCarContinuous-v0 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.

    May 11, 2021

  • Deep Q-Network (DQN) on LunarLander-v2

    In this post, We will take a hands-on-lab of Simple Deep Q-Network (DQN) on openAI LunarLander-v2 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.

    May 7, 2021