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Posts
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
In this post, We will review the process of model selection through Cross Validation.
Jun 13, 2021
In this post, We will implement the basis of Linear Discriminant Analysis (LDA).
Jun 9, 2021
In this post, We will cover the use case of Classification model including Logistic Regression through StatsModels and scikit-learn.
May 27, 2021
In this post, We will cover the use case of Linear Regression Model through StatsModels and scikit-learn.
May 20, 2021
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
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
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