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Data Analysis Project for Beginners Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Analysis is one major part that you must master before learning or diving into the machine learning algorithms section because data analysis is a process to explore the data to get a better understanding of data.

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Getting Started with Permutation and Combination in Python

Analytics Vidhya

It plays a crucial role in various fields, such as probability, statistics, cryptography, and data analysis. In Python, powerful libraries and algorithms allow us to work efficiently with permutations and combinations.

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How to Perform Label Encoding in Python?

Analytics Vidhya

One often encounters datasets with categorical variables in data analysis and machine learning. However, many machine learning algorithms require numerical input. These variables represent qualitative attributes rather than numerical values. This is where label encoding comes into play. appeared first on Analytics Vidhya.

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Exploratory Data Analysis (EDA) – Credit Card Fraud Detection Case Study

Analytics Vidhya

Overview Lots of financial losses are caused every year due to credit card fraud transactions, the financial industry has switched from a posterior investigation approach to an a priori predictive approach with the design of fraud detection algorithms to warn and help fraud investigators. […].

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Top 10 Platforms to Practice Python

Marktechpost

Python is a high-level, flexible programming language that is well-known for its extensive ecosystem, ease of use, and readability. Python’s vast libraries and frameworks offer advanced capabilities for seasoned developers, and its simple syntax and readability make it a good language. The top ten platforms are as follows.

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Beyond the silos: Unifying statistical power with SPSS Statistics, R and Python

IBM Journey to AI blog

Derive maximum value from your data Advanced analytical software professionals who use open source programming languages like R and Python frequently seek scalability, database connectivity, improved output quality and the ability to share algorithms with those who lack programming expertise.

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Guide to Online Learning and Passive-Aggressive Algorithms

Analytics Vidhya

Real-time systems, such as financial transactions, voice assistants, and health monitoring systems, rely on continuous […] The post Guide to Online Learning and Passive-Aggressive Algorithms appeared first on Analytics Vidhya.

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