Because bad data leads to bad models — Why does a proper dataset matter? Fundamentally, a machine learning model is something that configures itself to predict an outcome, based on the training data. If you feed the model training data that does not represent the data the model will face when actually being used, you cannot expect anything but flawed predictions. …

The unsupervised process of creating groups of data containing similar elements — What is clustering? Clustering is a method that can help machine learning engineers understand unlabeled data by creating meaningful groups or clusters. This often reveals patterns in data, which can be a useful first step in machine learning. …

Sometimes, less is more — Why should we select some features and ignore the rest? Isn’t having more features good for the accuracy of our model? Choosing the right features, and ignoring unsuitable ones, is a vital step in any machine learning project. This can result in good model performance and save you time down the line. It can also help you interpret the output of your model more easily. But having more features will mean…

The Key Role of Data Preparation for Successful Machine Learning Projects — The Challenge of Data Preparation Because every machine-learning project is different and the datasets used vary widely depending on the project specifications, the steps taken to prepare the data can be one of the most challenging parts of a machine-learning project. Because of the high specificity, it could be that you are the only one…

Linear Regression helps us understand relationships between different variables of our data. Let us imagine that we have a dataset that contains various factors that could impact the price of a car, such as the brand, model, year, and miles driven. Using Linear Regression, we can figure out how these…

Start small If you’re thinking about getting started with programming, don’t try to do everything right away. Instead, focus on one thing at a time. Pick something simple, like making a game, then build off of it. Once you feel comfortable with what you’ve built, move on to building something bigger. Learn how to code It…

Everything a coder need to know about Python lists, from beginner to advanced levels. — Lists are a one of the four built in data structures found in Python. Data structures can be considered as “containers” that help organize, manage and store data in a unique way. In addition to the built in data structures, Python also offers developers the ability to create their own…

Can you become a better learner? The quick simple answer: yes, you can. You can learn better, more effectively and keep what you learned in your memory. If you would like to know how, stick around a bit more and we’ll explore how you can be the best version of…

K-Nearest Neighbors (KNN) is one of the simplest machine learning algorithms to understand. Like many other algorithms, KNN was inspired by human reasoning. Imagine, for a moment, that you are holding in your hand a blue glass bottle that you have never seen before. You slip and suddenly drop it…