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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

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Different Python Libraries for Data Visualisation

Pickl AI

Summary : Python data visualisation libraries help transform data into meaningful insights with static and interactive charts. Choosing the proper library improves data exploration, presentation, and industry decision-making. It helps uncover patterns, trends, and correlations that might go unnoticed.

Python 52
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Speed up Your ML Projects With Spark

Towards AI

Image generated by Gemini Spark is an open-source distributed computing framework for high-speed data processing. As a Python user, I find the {pySpark} library super handy for leveraging Spark’s capacity to speed up data processing in machine learning projects. within each project folder. Let’s get started.

ML 80
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Sales Prediction| Using Time Series| End-to-End Understanding| Part -2

Towards AI

Please refer to Part 1– to understand what is Sales Prediction/Forecasting, the Basic concepts of Time series modeling, and EDA I’m working on Part 3 where I will be implementing Deep Learning and Part 4 where I will be implementing a supervised ML model. Data Preparation — Collect data, Understand features 2.

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Life of modern-day alchemists: What does a data scientist do?

Dataconomy

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. Interprets data to uncover actionable insights guiding business decisions.

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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Additionally, you will work closely with cross-functional teams, translating complex data insights into actionable recommendations that can significantly impact business strategies and drive overall success. Also Read: Explore data effortlessly with Python Libraries for (Partial) EDA: Unleashing the Power of Data Exploration.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.