Empowering Data Scientists with Streamlit: A Demo with DataInsightifyData scientists are often tasked with analyzing large datasets, sharing insights with stakeholders, and building tools to make data-driven…Dec 27, 2024Dec 27, 2024
Enhancing Credit Card Fraud Detection with LSTM and Random Forest: A Practical ApproachCredit card fraud detection is an ongoing challenge in the digital age. The sheer volume of transactions makes it difficult to identify…Aug 31, 20241Aug 31, 20241
Cracking Data Science Interviews: The Power of Descriptive Statistics and Hypothesis TestingIn the ever-evolving field of data science, a solid grasp of descriptive statistics and hypothesis testing is essential. These foundational…Aug 10, 2024Aug 10, 2024
Credit Risk Modelling Simplified: A Look at Loss Given Default (LGD) ModelWhat is Loss Given Default (LGD)?Jul 20, 20241Jul 20, 20241
Credit Risk Modelling Simplified: A Look at Probability of Default (PD) ModelsOverview of Credit Risk ModellingJul 13, 2024Jul 13, 2024
Extracting Rules from Random forest classifier written in Pyspark and visualise it using GraphvizStep into the realm of data exploration and visualization with me in my latest blog post! 🚀🔍 Discover the secrets of PySpark as we…May 26, 20241May 26, 20241
Beyond Batch: Real-Time ETL with Spark Structured Streaming on Databricks using best practices…In the dynamic landscape of big data analytics, the demand for real-time insights has become paramount. As organizations strive to make…Dec 26, 20231Dec 26, 20231
Payment Risk and Fraud: Part 3— A Decision Tree Case Study for Enhanced Business PerformanceThis is the final part of our series where we will work on a case study and will develop a Decision tree to reduce fraud.Nov 28, 2023Nov 28, 2023
Payment Risk and Fraud: Part 2 — Understanding Different Transaction RisksWelcome back to our journey into the intricate landscape of payment risks and fraud. In Part 1, we laid the foundation, understanding the…Nov 18, 2023Nov 18, 2023
Payment Risk and Fraud : Part 1 — The OverviewPicture this: you’re buying something online, and in the blink of an eye, your payment zips through the internet to make the purchase…Nov 11, 2023Nov 11, 2023