End-to-end ML pipeline on AWS Sage Maker
An end-to-end machine learning (ML) pipeline is a series of processes or stages that help to manage and automate the entire lifecycle of ML models—from data collection and preprocessing to….
Tag: Data Preprocessing
Training custom models using cloud GPUs/TPUs
Training custom machine learning (ML) models using cloud-based accelerators such as Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) offers significant advantages in terms of performance, scalability, and cost-effectiveness…..
Java Machine Learning Libraries (DeepLearning4J, Weka)
Java Machine Learning Libraries (DeepLearning4J, Weka) are powerful tools that enable Java developers to implement machine learning algorithms and models without the need to switch to other programming languages such….
Data leakage due to incorrect train-test split
Data leakage occurs when information from outside the training dataset is used to create the model, leading to overly optimistic performance during training but poor generalization on new data. One….
ImportError: cannot import ‘train_test_split’
The error “ImportError: cannot import ‘train_test_split’” usually occurs when trying to import train_test_split from scikit-learn but there is an issue with the installation or import path. Step 1: Check If….
Overfitting due to high model complexity
Overfitting occurs when a machine learning model learns patterns from the training data too well, including noise and random fluctuations. This leads to poor generalization on new, unseen data. High….
TypeError: expected sequence, got ndarray
The error “TypeError: expected sequence, got ndarray” occurs when a function expects a list, tuple, or other sequence-like data structure but receives a NumPy ndarray. Possible Causes and Fixes: 1…..
Not normalizing data before training ML models
Data normalization is a crucial preprocessing step in machine learning. If skipped, it can negatively affect model performance, particularly for algorithms that rely on feature scaling. In this guide, I….
Managing Data Science Teams
Here’s a comprehensive, detailed guide on Managing Data Science Teams, covering each aspect in depth: Managing Data Science Teams: A Comprehensive Guide Introduction Managing a data science team requires a….
Presentation Skills
Presentation Skills: A Comprehensive Guide Presentation skills are crucial in both personal and professional settings. Whether you are delivering a business pitch, academic lecture, or persuasive speech, mastering presentation skills….