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Top Python Libraries to Automate Exploratory Data Analysis in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Topic to be covered What is Exploratory Data Analysis What. The post Top Python Libraries to Automate Exploratory Data Analysis in 2021 appeared first on Analytics Vidhya.

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Netflix Data Analysis using Python

Mlearning.ai

Photo by Juraj Gabriel on Unsplash Data analysis is a powerful tool that helps businesses make informed decisions. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. The type column tells us if it is a TV show or a movie. df.isnull().sum()

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy. You can watch it on demand here.

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Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Ocean Protocol

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Data scientists across various expertise levels engaged in this challenge to determine Google Trends’ impact on cryptocurrency valuations.

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

We observed during the exploratory data analysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. However, the maximum length of historical sales data (maximum length of 140 months) still posed significant challenges in terms of model accuracy.

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Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning Blog

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. Conclusion In this post, we shared how SageMaker facilitates the data science team at Scalable to manage the lifecycle of a data science project efficiently, namely the email classifier project.

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Curve Finance Data Challenge Review & Insights Research

Ocean Protocol

Abstract This research report encapsulates the findings from the Curve Finance Data Challenge , a competition that engaged 34 participants in a comprehensive analysis of the decentralized finance protocol. Part 1: Exploratory Data Analysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve.