Export Table from Aurora PostgreSQL to Amazon S3

In this blog post I discuss how to export 100GB non-partitioned table from Aurora PostgreSQL to Amazon S3. I will walk you through two…Continue reading on Analytics Vidhya »

2h

Build a Break Scheduler using Python

Hello reader!Working from home is the new normal. and It is a must to ensure a healthy work-life balance. You cannot just grab a laptop and keep working all day long, it will affect your health drastically.Schedule your breaks, by far the way out. It works out well for me. In this blog post, we will learn how to build a break Scheduler. We will see...

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OOPs Python

Object-Oriented Programming System (OOPs) is one of the most important concepts that everyone in the world who write a computer program…Continue reading on Analytics Vidhya »

2h

AB-Testing experiment p-hacked by Mr Wolf who fooled the entire data science team

AB-Testing experiment p-hacked by Mr. Wolf who fooled the entire data science team | Learn about p-value and p-hackingp-hacking; image source: Twitter KCLet us understand p-value and p-hacking from an interesting case that happened to me in past.An intern who worked with me sometime back. Let’s call him Mr. Wolf Gupta (identity hidden).What wrong did...

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Why do Feature Scaling ? | Overview of Standardization and Normalization | Machine Learning

Why do Feature Scaling ? | Overview of Standardization and Normalization | Machine LearningWhy do we need feature scaling ? When to use feature scaling and What feature scaling method to use ?Feature Scaling is a pre-processing technique that is used to bring all the columns or features of the data to the same scale. This is done for various reasons.It...

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EDA Using SQL

A complete walkthrough of the data analysis process using SQL.Photo by Luke Chesser on UnsplashINTRODUCTIONSQL stands for Structured Query Language. It is the standard language to interact with databases. SQL is the most important tool, a data analyst uses to manipulate and gain insights from the data. In this project, we will try to clean, process,...

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Table Extraction using Deep Learning

Building a deep learning model with TensorFlow to extract tabular data from an image.Photo by fabio on UnsplashA table is a useful structural representation that organizes data into rows and columns and aims to capture the relationships between different elements and attributes in the data.Tables have become a part of our daily lives: from basic transactions...

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The Art of Visual Storytelling with Data

Image credits : https://www.sourcecon.com/the-power-and-importance-of-storytelling-in-recruitment/Once upon a time, in a land far far away, there were these magical items called “Data”, which many people did not understand about. In the same far far away land, there lived a boy named “Storyteller” unfurling in his youth and he was secretly unraveling...

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Machine Learning Metrics in simple terms

Explanation of Accuracy, Precision, Recall, F1 Score, ROC Curve, Overall Accuracy, Average Accuracy, RMSE, R-squared etc. in simple terms with examplesThere are many metrics in Machine Learning to evaluate a model. I am going to discuss the important ones that we use in Machine Learning.Note: I am repeating the tables under different metrics to reduce...

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HOLT-WINTERS FORECASTING

A time series forecasting series.Continue reading on Analytics Vidhya »

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