Data Analytics

If you're interested in transitioning into a tech career, it's important to start by learning the fundamentals of computer science. Here are some of the best university computer science courses that will help cover the basics, including programming with Python, data structures and algorithms, and essential tools for software engineering. Stanford University's Computer Science 101 course…

If you've had experience programming in languages such as C++ or Java, you are probably familiar with enums (enumerations), utilised to create name constants. These are particularly useful when you have a variable that is expected to take one of a predefined set of values, e.g., days of the week or student grades. While Python…

Regularization is a vital tool in machine learning and deep learning for mitigating overfitting, a scenario where the model learns the training data too precisely. Overfitting can lead to a model failing to predict future data accurately. Regularization techniques are designed to help the model generalize better to new data. Two popular regularization techniques are L1…

This tutorial explains how Scikit-learn pipelines can enhance machine learning workflows by simplifying preprocessing and modeling steps, improving code clarity, ensuring consistency in data preprocessing, assisting with hyperparameter tuning, and organizing your workflow. The tutorial uses the Bank Churn dataset from Kaggle to train a Random Forest Classifier, comparing the traditional data preprocessing and model…

The rapid pace of new breakthroughs in data science makes it crucial for those in the industry to stay at the top of their game. To keep up with the latest developments and acquire the necessary knowledge, professionals can take advantage of various data science communities available online. Five key communities have been identified that offer…

SQL is an essential skill for all data professionals, and mastering it requires continued learning. Several free SQL courses can aid in learning and becoming proficient in SQL for data science. They range from the basics of relational databases and SQL to NoSQL databases. The first available course, 'SQL Tutorial - Full Database Course for Beginners,'…