Data Science

Python – How to Plot Learning Curves of Classifier

In this post, you will learn a technique using which you could plot the learning curve of a machine learning…

5 years ago

Infographics for Model & Algorithm Selection & Evaluation

This is a short post created for quick reference on techniques which could be used for model evaluation & selection…

5 years ago

Feature Scaling & Stratification for Model Performance (Python)

In this post, you will learn about how to improve machine learning models performance using techniques such as feature scaling…

5 years ago

How to use Sklearn Datasets For Machine Learning

In this post, you wil learn about how to use Sklearn datasets for training machine learning models. Here is a…

5 years ago

Python – How to install mlxtend in Anaconda

In this post, you will quickly learn about how to install mlxtend python package while you are working with Anaconda Jupyter…

5 years ago

Python DataFrame – Assign New Labels to Columns

In this post, you will get a code sample related to how to assign new labels to columns in python programming…

5 years ago

Java Implementation for Rosenblatt Perceptron

In this post, you will learn about Java implementation for Rosenblatt Perceptron.  Rosenblatt Perceptron is the most simplistic implementation of…

5 years ago

Difference between Adaline and Logistic Regression

In this post, you will understand the key differences between Adaline (Adaptive Linear Neuron) and Logistic Regression.  Activation function Cost…

5 years ago

Logistic Regression: Sigmoid Function Python Code

In this post, you will learn about the following: How to represent the probability that an event will take place…

5 years ago

Three Key Challenges of Machine Learning Models

In this post, you will learn about the three most important challenges or guiding principles that could be used while…

5 years ago