Published inHeartbeat·PinnedGuide to Non-Linear Activation Functions in Deep LearningNon-linear activation functions that you need to know — Activation functions are equations or mathematical formulas that help us determine the output of a neural network. The main purpose of an activation function is to derive an output value based on the input value that is fed to a neuron. In deep learning, activation functions add non-linearity to the…Activation Functions7 min readActivation Functions7 min read
Published inHeartbeat·PinnedGuide 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 readHeartbeat6 min read
Published inHeartbeat·PinnedGuide to Activation Functions in Neural NetworksHow to choose the best activation function for your deep learning model — Activation functions play an essential part in artificial neural networks as they decide whether a neuron should be activated or not. Activating a neuron determines whether the information that the neuron is receiving is relevant and if it should be used or ignored. Activation functions are mathematical equations that help…Heartbeat6 min readHeartbeat6 min read
Published inHeartbeat·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. …Heartbeat6 min readHeartbeat6 min read
Published inHeartbeat·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 readHeartbeat5 min read
Published inLevel Up Coding·Nov 27Member-only10 Python Libraries You Should Be Using for Data Science (But Probably Aren’t)In the rapidly evolving field of data science, Python has emerged as the lingua franca, thanks to its simplicity, readability, and versatile library ecosystem. However, beyond the popular giants like NumPy, Pandas, and Scikit-Learn, there lies a treasure trove of lesser-known Python libraries that can significantly boost your data science…Python4 min readPython4 min read
Published inLevel Up Coding·Sep 24Member-onlyHandling Skewed Data in PySpark: Strategies for Balanced ProcessingImportance of handling the skewed data — Data engineering is a field that’s as much about solving problems as it is about creating data pipelines. One of the most common issues we encounter is skewed data. In the PySpark ecosystem, handling skewed data is a challenge that many data engineers face, especially when dealing with large datasets. …Python4 min readPython4 min read
Published inLevel Up Coding·Sep 19Member-onlyChange Data Capture (CDC): Keeping Your Data Synced Across SystemsTrack change in your data with CDC — In the ever-evolving world of data engineering, the need for real-time data processing and synchronization has become paramount. As businesses grow and diversify, so does the complexity of their data systems. …Python3 min readPython3 min read
Published inHeartbeat·Sep 6MLOps with Comet - A Machine Learning PlatformExperimenting with Comet, a machine learning platform — Creating a machine learning model is easy, but that’s not what machine learning is all about. Data scientists need to track and compare the performance of different machine learning models while using different hyperparameters. When working on an ML project, we must compare various machine learning models with different hyperparameters…Cometml6 min readCometml6 min read
Published inPython in Plain English·Jul 10Member-only15 Python Tips and Tricks: No More Stack Overflow SearchesFollow these Python tips to avoid unnecessary Stack Overflow searches — Python, a high-level programming language, is known for its simplicity and flexibility. It has become a popular choice among developers worldwide due to its readability and efficiency. But, as with any language, there are ways to leverage Python’s features to produce cleaner, more efficient, and more Pythonic code. This article…Python5 min readPython5 min read
