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How Exploratory Data Analysis Helped Me Solve Million-Dollar Business Problems

Towards AI

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

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Exploratory Data Analysis on Stock Market Data

Mlearning.ai

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. The dataset can be downloaded from Kaggle.

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The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

Mlearning.ai

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Reporting Data In this section, we have to download, connect and analyze the data on PowerBI. Figure 11: Project’s GitHub Now, we have to click on the icon of “download”.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

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Discover Best AI and Machine Learning Courses For Your Career

Pickl AI

hours of on-demand video 5 coding exercises 40 articles and 9 downloadable resources Full access on mobile and TV Data Science Job Guarantee Program by Pickl.AI This year-long program guarantees a job in Data Science , providing both conceptual knowledge and technical proficiency. Course Content: 42.5