Learn how to use data augmentation, resampling techniques, and cost-sensitive learning for solving class imbalance in machine learning.
Business Analytics is one of the most booming job roles in the Data Science Industry. Top business analytics books which will help you learn and grow.
Learn 5 Pandas tips, tricks, hacks for python in jupyter notebook. It is one of the most essential libraries to be efficiently mastered by data scientists.
Flask is a web application framework written in Python. Learn model deployment and build an image classification model in PyTorch, deploy it using Flask.
Open source data science projects add a lot of shine to your resume. Here are 7 such open source projects you can use to impress your interviewer.
Learn about Information Extraction, its process, and tools like SpaCy. Extract insights from text data efficiently with code examples.
Excel charts enable analysts to create powerful and ambitious visualizations. Here are 3 Excel charts: Waterfall, Funnel and Pareto for analytics domain.
Advanced excel charts tutorials explains 3 advanced excel charts sparklines, gantt charts and thermometer charts that every analytics professional should try
Learn how to evaluate your model using the AUC ROC curve in machine learning. Understand the concept and visualize classifier performance.
Animated visualizations are a pwoerful way of showing your data and results. Learn how to use Tableau to created animated visualizations.
Edit
Resend OTP
Resend OTP in 45s