Aishwarya Kurre

I work as a Data Science Ops at Pickl.ai and am an avid learner. Having experience in the field of data science, I believe that I have enough knowledge of data science. I also wrote a research paper and took a great interest in writing blogs, which improved my skills in data science. My research in data science pushes me to write unique content in this field. I enjoy reading books related to data science.
Your Essential Python Cheat Sheet For Beginners: Mastering Python Basics

Your Essential Python Cheat Sheet For Beginners: Mastering Python Basics

Python’s simplicity and readability, along with its vast community and resources, make it an excellent choice for beginners. With this Python Cheat Sheet at your disposal, you’re well on your way to mastering the basics. Keep practicing, and you’ll be creating amazing Python applications in no time. Python, a versatile and widely used programming language,…

How Decision Trees Handle Missing Values: A Comprehensive Guide

How Decision Trees Handle Missing Values: A Comprehensive Guide

In the world of Machine Learning and Data Analysis, decision trees have emerged as powerful tools for making complex decisions and predictions. These tree-like structures break down a problem into smaller, manageable parts, enabling us to make informed choices based on data. One critical aspect of using it is how decision trees handle missing values,…

Data Centric Consistency Model in Distributed Systems-

Data Centric Consistency Model in Distributed Systems-

In Data Science, distributed system is a collect of independent components located in different machines sharing messages to achieve common goals. Consistency Model is a set of rules that governs the behaviour within a distributed system. The consistency model in distributed system plays a key role in ensuring that the system is consisten and dependable…

What is NumPy in Python?- Types & Function

What is NumPy in Python?- Types & Function

What is NumPy?  NumPy, short for “Numerical Python,” is a fundamental library in Python for scientific computing. It provides support for large, multi-dimensional arrays and matrices, along with an extensive collection of high-level mathematical functions to operate on these arrays efficiently. NumPy module in Python is an open-source library and is widely used in various…

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Unfolding the difference between Data Engineer, Data Scientist, and Data Analyst: Data Engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python, Java, SQL, and knowledge of Big Data…

Introduction to Gradient Boosting Algorithm With Examples

Introduction to Gradient Boosting Algorithm With Examples

Are you ready to take your machine learning algorithms to the next level? Buckle up because we are going to introduce you to a Game-Changing Technique that will revolutionize the way you approach predictions and model fitting. Say hello to Gradient Boosting Algorithm! What is Gradient Boosting? Let’s start with the basics. Gradient boosting is…

Splunk Tutorial For Beginners: It’s Application & Features

Splunk Tutorial For Beginners: It’s Application & Features

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. Amongst the popular options, we will be discussing Splunk.  It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data….

What is Hadoop and How Does It Work?

What is Hadoop and How Does It Work?

Hadoop has become a highly familiar term because of the advent of Big Data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. However, understanding Hadoop can be critical and if you’re new to the field, you should…

Who is a Business Data Analyst, and Why is this role important today?

Who is a Business Data Analyst, and Why is this role important today?

Different job roles are becoming increasingly popularised in the rapidly growing technological market and data plays a significant role in it. With the help of crucial and valuable data, it has become possible for business organisations to make important decisions. From predicting future trends to understanding data using visualisation, data is everywhere. However, in order…

Decision Tree Classification- A Guide to Supervised Machine Learning Algorithm

Decision Tree Classification- A Guide to Supervised Machine Learning Algorithm

One of the most popular algorithms in Machine Learning are the Decision Trees that are useful in regression and classification tasks. Decision trees are easy to understand, and implement therefore, making them ideal for beginners who want to explore the field of Machine Learning. The following blog is a guide to Decision Tree Machine Learning,…

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