This repository hosts all blog posts about machine learning, deep learning and statistical modeling. All the contents used to produce the blog posts such as data, images, scripts and notebooks are included.
Posts:
- Conda Essentials Notes
- K-Means Clustering
- Coding Neural Network - Dropout
- Coding Neural Network - Regularization
- Coding Neural Network - Parameter's Initialization
- Coding Neural Network - Gradient Checking
- Coding Neural Network - Forward Propagation and Backpropagation
- Predicting Employee Turnover
- Gradient Descent Algorithm and Its Variants
- Character-Level Language Model
- Predicting Loan Repayment
- Bandit Algorithms: epsilon-Greedy Algorithm