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Data Science

Data science is an interdisciplinary field that utilizes scientific methods, algorithms, and systems to analyze and interpret complex data, combining computer science, statistics, mathematics, and domain expertise.

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Introduction to Data Science

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Data Collection and Cleaning

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Data Exploration and Visualization

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Data Manipulation and Analysis

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Machine Learning Basics

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Supervised Learning Algorithms

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Unsupervised Learning Algorithms

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Model Selection and Evaluation

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Natural Language Processing (NLP)

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Time Series Analysis

BharatGPT showcases the nation's commitment to innovation.

#21

February 24, 2024

An annoyed cat

DataPanthy #21

DeveLearn

February 24, 2024

Editor's Note :

In this 21st edition of DataPanthy, we're excited to announce BharatGPT's forthcoming Hanooman service, a groundbreaking AI model poised to revolutionise India's technological landscape. Backed by Reliance Industries and prominent universities, BharatGPT showcases the nation's commitment to innovation. Additionally, Adobe introduces an AI Assistant to Reader and Acrobat, enhancing document management. Paytm clarifies post-March 15 uncertainties, while Amazon gears up to launch a specialised fashion store. Explore our research spotlight on web data analytics and Python resources for enthusiasts. Stay tuned for more transformative updates!

BharatGPT plans to roll out Hanooman service next month.

BharatGPt, the mega group backed by Mukesh Ambani’s Reliance Industries, is all set to launch the artificial intelligence model for India. This ChatGPT-style AIR model will begin to roll out its services next month in March. BharatGPT is a mega consortium that includes RIL and eight prominent universities. Recently at an event, the teaser of the AI model was shown to a selected audience.

Adobe brings AI Assistant to Reader and Acrobat.

Adobe has introduced its new generative AI-powered assistant in Reader and Acrobat. Currently in beta, the new AI assistant is integrated into the Reader and Acrobat workflows. The new AI assistant is capable of generating summaries and insights from long documents, answering questions, and clean information to be shared in emails, presentations, and reports.

Paytm explains what will work and what will not after March 15: Wallet, Fastag, UPI questions answered.

As the deadline for the ban on Paytm Payments Bank has been extended, confusion around whether the UPI service will keep working or not is still there. Following this, Paytm has posted an official update on its website, explaining what will work and what will not after March 15 in terms of Wallet, Fastag, and more. Here is everything that you need to know.

Amazon to launch ‘special store’ for value fashion in India

The e-commerce giant plans to launch a “special store,” called Bazaar, where it will not levy any “extra charges” to sellers offering unbranded and “trendy” fashion and lifestyle products, according to a communication the firm has sent to its partners.

Research Spotlight :

Web Data Analytics:

PostgreSQL + Python | Psycopg

Problems - CodeAbbey

Project Jupyter | Home

PY4E - Python for Everybody

Python 2.7.13 documentation

Python Conquers The Universe | Adventures across space and time with the Python programming language

Python Flask From Scratch - YouTube

Python Tricks 101 – Hacker Noon

Python tutorial - TutorialsPoint

Regular Expressions for Data Scientists

Simple Linear Regression Analysis - ReliaWiki

Introduction — Python 101 1.0 documentation

Documenting Python Code: A Complete Guide – Real Python

MIT AI: Python (Guido van Rossum) - YouTube

Python IDEs and Code Editors (Guide) – Real Python

Advanced Python web scraping tricks and tips

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Datapanthy is a fully free NewsLetter curated by DeveLearn as part of its core mission and business of training young graduates & professionals alike in key skills of Analytics, Data Science & Web technologies. Join a growing community of data enthusiasts who have already unlocked the power of data with “DataPanthy.” Add Datapanthy to your weekly reading digest and embark on a journey of continuous learning, innovation, and success in the world of data science!

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