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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. df = df.dropna() df.isnull().sum() sum() df['rating'].value_counts()

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Estimating the Data Mining Tool Market

The Data Administration Newsletter

The recently published report by Research Nester, Global Data Mining Tool Market: Global Demand Analysis & Opportunity Outlook 2027, delivers detailed overview of the global data mining tool market in terms of market segmentation by service type, function type, industry type, deployment type, and region.

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Big Data Drives Office Productivity into Overdrive

Smart Data Collective

Many offices are using big data to lift productivity. This is one of the reasons the market for big data is expected to be worth $103 billion by 2027. Big Data is the Key to Office Productivity. We couldn’t foresee a future without big data. One of the most significant benefits is with office productivity.

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AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

billion on AI for cybersecurity in 2027. Fraud teams using big data analysis are now able to consistently upgrade payment gateways. This dedicated squad operates entirely in the online world, building algorithms that make online purchases safe and limited the losses that can come through fraud.

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Mathematics and Data Science: its role and relevance

Pickl AI

million new job opportunities in the data domain by 2025. The average salary of a data professional in India is ₹13,50,000 per year. The Big Data market is expected to be worth $103 billion by 2027. Q4: Can you provide an example of a real-world application of topological Data Analysis?

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Big Data has Permanently Changed the State of Securities Trading

Smart Data Collective

It is projected to grow at an annual rate of around 13% through at least 2027. Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. Use Data Analytics to Increase Knowledge. billion last year.

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Generative AI for Enterprises: Statistics, Use Cases, Top Examples

Chatbots Life

By 2027, approximately 30% of manufacturers will have adopted generative AI technology to enhance the efficiency of their product development processes ( Gartner ). According to Gartner , by 2025, Generative AI will account for 10% of all data produced, up from less than 1% today. from 2022 to 2027 , reaching a market size of USD 16.3

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