Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)
Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will …
Regression
An Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
A summary of fast.ai’s course that interprets the results of a random forest model using various techniques like partial dependence & tree interpreters.
An Introduction to Random Forest using the fastai Library (Machine Learning for Programmers – Part 1)
This article provides a comprehensive summary of fast.ai’s machine learning course. It’s a deep dive into the inner workings of the Random Forest algorithm!
A Hands-On Guide to Automated Feature Engineering using Featuretools in Python
This hands-on guide covers how you can perform automated feature engineering in Python using the open source library Featuretools.
A Practical Introduction to K-Nearest Neighbors Algorithm for Regression (with Python code)
This article introduces you to one of the most common machine learning techniques called K-Nearest Neighbor, along with an implementation in Python.
Ultimate guide to handle Big Datasets for Machine Learning using Dask (in Python)
Dask is a parallel computing python library that can run across a cluster of machines. This article includes a look at Dask Array, Dask Dataframe & Dask ML.
Introduction to Regression Splines (with Python codes)
Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …
Commonly used Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …
Creating & Visualizing Neural Network in R
Introduction Neural network is an information-processing machine and can be viewed as analogous to human nervous system. Just like human nervous system, which is …
Building your first machine learning model using KNIME (no coding required!)
Introduction One of the biggest challenges for beginners in machine learning / data science is that there is too much to learn simultaneously. Especially …
