The lives of individuals, businesses, and industries have been devastated by Covid-19. The world came to a halt in 2020 and has started to resurrect itself in a completely new dimension. The Covid-19 pandemic shows the vital necessity for fast and reliable data sources that are both individualized and population-wide to generate data-driven insights into
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How do you think you get product recommendations on an E-commerce site or how do you think taxi booking services monitor traffic conditions and adjust prices accordingly? The answer is “Data Science". With technological advancements and growing changes in the world of business, Data has become of paramount importance to industries, corporate houses, and government
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Data analytics is all about collecting and analyzing raw data to find valuable patterns and insights that answer questions or solve problems. This helps businesses make smart decisions, improve efficiency, increase customer satisfaction, and drive more revenue.
If you want to master data analytics, you must know the different types of data analytics employed in industries.
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The CEO of LinkedIn Jeff Weiner had once said that “Data really powers everything that we do.” Data is indeed everywhere, starting from healthcare to search engines. With so many complexities and unpredictabilities in the world of business, there has been an increasing need for analyzing, cleaning and manipulating data. This is where Data Science
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Today, we are going to learn about one of the most interesting and exclusive concepts that apply everywhere in business applications: Case Studies. A case study is an important and useful way to learn about the practical applications of business using science models. These science models are usually those which help us apply logic to
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How Artificial Intelligence Can Improve Your Pay-Per-Click Ad Efforts:
Improving your PPC efforts is much easier when you implement A.I. in your strategy. Because of this, humans are still highly involved in many processes when creating campaigns. Data is only possible if people know what they can do and have clear objectives in place. Also, businesses
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In this blog, we will be covering the conversation of Eeshani Agarwal and Ruchika Saha, who bring us the second episode of the Learn to Visualize series where we are going to learn about Dashboard Actions. Eeshani Agarwal (Data Storyteller and Data Visualization Expert (Tableau, PowerBI, VBA, SQL, Excel). Coached 9,000+ professionals & consulted 50+
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Elon Musk announces humanoid robot Tesla Bot that uses artificial intelligence :
Billionaire Elon Musk has announced that Tesla is working on a humanoid robot called "Tesla Bot" that uses artificial intelligence and will launch the prototype in 2022 : see video. This comes after the US safety officials opened a preliminary investigation into Tesla's Autopilot
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What is Tableau?
Tableau is a visual analytics platform that helps people and organizations to make the most of their data to solve business problems. Tableau was founded in 2003 which aimed at making machine learning, statistics, natural language, and smart data prep more useful to augment human creativity in analysis. Tableau was acquired by Salesforce
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What is R?
R is a programming language that comes long back from 1995. Created by Ross Ihaka and Robert Gentleman at the Auckland University, New Zealand, R is an open-source language that extends its uses for statisticians and data scientists. They are the ones who create and develop applications based on statistics and R helps
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Artificial intelligence(AI) and Data Science are ready to transform our unimaginable lives years ago. For that reason, Data Science and Artificial Intelligence have become the “trending topics” in every article of 2021. While everyone is able to interpret the actual reason for the wave of such a lucrative job type, each one has its own
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SQL (often pronounced as ‘sequel’) is the acronym for Structured Query Language. To pioneer in the field of data analytics, data science or data engineering, SQL becomes one of the most vital building blocks. When people start getting into data science, the biggest problem that they face is coding.
While it is not mandatory to
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Overview
Logistic Regression is a popular classification algorithm used to predict a binary outcome.
In this case study, get an introduction to logistic regression without relying on Python’s sci-kit library.
There are various metrics to evaluate a logistic regression model, such as confusion matrix, AUC-ROC curve, etc.
In this notebook, we aim to create a
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Introduction
I am Komal Wahi, currently pursuing my master’s in economics from St. Xavier’s University, Kolkata. I was very much interested in exploring the world of analytics, and the best decision I made was to join IVY Professional School, Kolkata. I enrolled myself for a Data Science and Machine Learning Certification, and my experience so far
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“Never start a problem unless you are clear with the business.” These lines couldn’t be more true. It comes from Prakhar Gupta, who graduated from IIT Delhi and is now a Chief Product Officer at Syncmedia & Adtech. In addition to that, he is also a faculty team member, advisor to various data science-related work
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Dr. Regi Mathew, a fellowship, PhD holder from IIM Ahmedabad, has extensive experience of 20+ years in the data analytics domain. In addition to that, his data science and analytics journey also includes consulting, freelance assignments, and teaching students several topics under the data analytics hood. Without any further ado, let’s unearth the important points
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