Published in Heartbeat·PinnedTechniques to Handle Imbalanced Data in Machine LearningDifferent ways to handle imbalanced data for a classification problem — In the machine learning process, while dealing with classification problems, you’ve probably faced situations where the number of observations for one of the target class labels is significantly lower than the observations of other target classes. This type of data is called imbalanced data and this situation is very common…Heartbeat6 min read
Published in Heartbeat·PinnedHyperparameter Tuning in Machine Learning Using GridSearchCVFinding the optimal hyperparameters using grid search — Model parameters and model hyperparameters are two important things that we define while building a machine learning model. …Heartbeat5 min read
Published in Heartbeat·Jul 26Guide to Distance Metrics in Machine Learning AlgorithmsDistance Metrics used in machine learning algorithms — Distance metrics play a very important role in machine learning. A number of machine learning algorithms, both supervised and unsupervised, use distance metrics to calculate the similarity between two data points. These distance metrics calculate mathematics-driven distance between various data points available in the dataset. …Heartbeat6 min read
Published in Level Up Coding·May 25Member-only8 Mistakes That Every Python Programmer Should AvoidPython mistakes that you need to be aware of — Python is a simple and easy to learn programming language. Many beginner programmers opt for python as their first programming language due to its simple syntax, easiness of use and applications. While python is a simple and user-friendly programming language, there are some common mistakes that python programmers make while…Python5 min read
Published in Level Up Coding·May 19Member-onlyProgramming Jokes That Will Make You LaughProgramming jokes that you will find relatable to your daily life — We all like jokes, especially when we can relate them to our daily life. Programming is not the only thing that programmers are good at, they also have a great sense of humour. In this article, I have come up with some jokes that you can relate to your work…Humour3 min read
Published in Heartbeat·May 9Dimensionality Reduction Techniques in Machine LearningA guide to dimensionality reduction techniques in machine learning — When training a Machine Learning model, having more features than necessary in your dataset can lead to a variety of complications, inaccuracies, and even errors. The number of input features (columns or variables) present in a given dataset is referred to as its dimensionality, and datasets with many features are…Dimensionality Reduction6 min read
Published in Level Up Coding·Apr 10Member-only9 Best Practices to Write Super Readable CodeBest practices that every programmer should follow — Writing readable code is as important as writing useful code. It is one of the fundamentals of software development to write code in such a way that it is readable and understandable to every new programmer who is reading your code for the first time. Readable code not only makes…Programming6 min read
Published in Heartbeat·Apr 5Techniques to Deal with Outliers in the DataGuide to techniques to deal with the data outliers — Exploratory data analysis (EDA) is an important and initial step of a data science project. It is an important process of performing a preliminary investigation of the dataset in order to detect anomalies, discover patterns, and test hypotheses. Along with finding insights, and handling missing data, one such important task…Heartbeat5 min read
Published in Level Up Coding·Mar 8Member-only8 Built-in Functions Every Python Programmer Should KnowPython built-in functions that are useful — Python has several functions and methods that are readily available for use, these functions are known as built-in functions. These built-in functions are very handy and easy to use. These built-in functions are not only handy and save our same but also help us avoid writing unnecessary lines of code…Python4 min read
Published in Heartbeat·Jan 25Guide to Image Augmentation in Deep Learning Using KerasIncrease your image dataset — When working with deep learning models, we often find ourselves in a situation where there is not much data available to train our model. Data augmentation is a savior that helps us to solve unavoidable problems. Image augmentation is a technique that helps us increase the size of the image…Data Science7 min read
