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Artificial General Intelligence: The Future of Thinking Machines

Artificial General Intelligence (AGI)AGI is still a theoretical concept, but it has huge implications for the future of AI. A prominent Artificial Intelligence leader Sam Altman, Has recently talked about the possibilities of Artificial General Intelligence (AGI) and future of thinking machines. According to him in the near future, AI machines are going to outperform […]

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Understanding Sampling Distribution: A Financial and analytical Perspective

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Vishal Sikka works as a data analytics consultant at a prominent investment bank. He has over 10 years of experience working in the finance sector. Vishal Sikka has shared his rich experience in this blog. Read and learn how to analyze financial results to make your data work for you. Introduction Imagine you are

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Programming Model of Python: How Python Works

2 Comments / Python / Analytics Siksha

Python’s programming model is one of its most defining characteristics, contributing to its widespread popularity and versatility. Understanding the programming model provides insight into why Python is such a flexible and powerful language. Let’s explore the key elements of Python’s programming model in a beginner-friendly and clear way. 1. Multi-Paradigm Programming Python supports multiple programming

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What is Python?

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What is Python? A Beginner’s Guide to This Popular Programming Language. Table of Contents Python Basics Why is Python so popular? What can you do with Python? Is Python Right for You? Why Pythons’ Popularity Is not Going Anywhere? Conclusion If you are exploring the world of technology and programming, chances are you have

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Understanding Linear Regression Through the Lens of House Price Prediction

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Learn how to implement Linear Regression in a Machine Learning Model with a Housing dataset. Table of Contents: Introduction What is Linear Regression? The dataset Analysis How does Linear Regression Work? Challenges and Limitations Building own Linear regression Model Conclusion INTRODUCTION House Price Prediction is one of the basic datasets to practice in Machine

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House Price Prediction: Linear Regresion

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Learn how to build a House Price Prediction model using Linear Regression in Python. Step-by-step guide with code examples, data preprocessing, and evaluation metrics explained. INTRODUCTION Predicting house prices is one of the most fundamental applications of data science and machine learning. Imagine being able to forecast how much a house is worth based on

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Find Even or Odd Numbers in python

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Python is a versatile and beginner-friendly programming language. It is a favorite for developers tackling problems both simple and complex.One common task in programming is determining whether a number is even or odd. Table of Contents: Method 1: Modulus Operator % Method 2: List Comprehension Method 3: Using Lambda Functions Method 4: Using Bitwise

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