Implementing Neural Network Algorithm with NumPy
April 10, 2019
The idea of this post is to implement a fully connected neural network in python.
Neural Network BackPropagation Explained
January 15, 2019
The idea of this post is to understand the math behind backpropagation of a fully connected neural network.
Implementing Logistic Regression Algorithm with NumPy
September 15, 2018
The idea of this post is to understand the math behind Logistic Regression Algorithm and compute the parameters with the help of numPy only.
Implementing Linear Regression Algorithm with NumPy
June 13, 2018
The idea of this post is to understand the math behind Gradient Descent and compute the parameters with the help of numpy only.
Understanding Sample Datasets packaged with scikit-learn!
February 12, 2018
scikit-learn is packaged with few sample toy datasets to address both classification and regression problems. The idea of this blog is to understand how to load and explore these datasets.
