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Pandas 2.0

Analytics Vidhya

Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. appeared first on Analytics Vidhya.

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How to avoid the 7 most common mistakes of Big Data analysis

Dataconomy

You could dive into gigabytes or even petabytes of data from any industry and derive meaningful interpretations that may catch even the industry insiders by surprise. When the global financial crisis hit the American market in 2008, few.

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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['rating'].replace(np.nan, value_counts()[:20].plot(kind="bar",color="Blue")

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Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

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My GPT-4 Prompting Methods: The Why And How For Data Visualization

Towards AI

The original dataset looks like this: My original CSV file showing the GPI for each country from 2008–2020 What is missing from… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. As a recent example, I was working with a UN dataset called the Global Peace Index (GPI).

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

After the first 10 testing submissions, I realised that there was a concept drift happening between 2007 and 2008. To me, this probably means, the decision rules for grant applications were somehow changed during 2007 and 2008. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1

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Pioneer of Google’s Data Centers Dies at 58

Hacker News

He left Pittsburgh eight years later to teach at Pennsylvania State University in State College, where in 2001 he became director of its multivariate analysis center. Multivariate statistics are data analysis procedures that simultaneously consider more than two variables. He retired in 2008.