Introduction This is again a note to myself. This code has been prepared following different tutorials and SO answers. I have tried to cover many of them in reference below. The notebook is commented to the best of my ability. Starting with 11% in first trial, the final model is able to achieve accuracy ofContinue reading “A tutorial for MNIST – Digit Recognition Using scikit learn”
Tag Archives: Machine Learning
How do Machines Learn : Hoeffding’s Inequality, in sample and out of sample using Game of Throne Analogy
The war is almost here and people of Winterfell have to decide whom they wish to declare the king in the North. There are one million citizen in Winterfell. These one million citizens need to choose between Daenerys Targaryen and Jon Snow. But there is one man who wish to know the results before handContinue reading “How do Machines Learn : Hoeffding’s Inequality, in sample and out of sample using Game of Throne Analogy”
Introduction to Machine Learning Terminology and Perceptron
We talked about introduction to machine learning here. Let’s say, we have two armies: red and blue. The black line is the border separating these two armies. The line is curved and it is drawn using visual inspection. But the kings are mad and they demand a straight line, not a curved one. To pleaseContinue reading “Introduction to Machine Learning Terminology and Perceptron”
An Introduction To Machine Learning
Machine Learning is a kind of buzz words these days; sort of a mysterious new guy in the class whom everyone wants to be friend with. On the onset, I would like to think Machine Learning as a part of tool kit of every Software Engineer. And conceptually it’s not different from the Mathematics, Algorithm,Continue reading “An Introduction To Machine Learning”
A tutorial To Find Best Scikit classifiers For Sentiment Analysis
An introduction to sentiment analysis comparing different classifiers using scikit, nltk and panda.
A Tutorial to Understand Decision Tree ID3 Learning Algorithm
Introduction Decision Tree learning is used to approximate discrete valued target functions, in which the learned function is approximated by Decision Tree. To imagine, think of decision tree as if or else rules where each if-else condition leads to certain answer at the end. You might have seen many online games which asks several question and leadContinue reading “A Tutorial to Understand Decision Tree ID3 Learning Algorithm”
A Beginner Tutorial For ML Decision Tree Model Using Scikit And Panda
Prerequisite Python, Scikit and Panda installed in your laptop. It’s better to install conda as it has all the required libraries. Install Jupyter too. It really helps in python coding. Panda Panda is a popular python library to explore and manipulate data. Scikit Scikit is popular machine learning framework in python. Regression Regression is process toContinue reading “A Beginner Tutorial For ML Decision Tree Model Using Scikit And Panda”