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- Posting my first Dev Post: Project : Using Linear Regression in Machine Learning to predict house prices
- My first development log: Predicting house prices using linear regression I'm excited to share my machine learning lab notebook! This notebook contains code and markdown for a project using linear regression. It loads data from the load_boston dataset and allows us to predict house prices based on existing actual house prices ??? Concepts used include: Train-test split? Linear regression? Mean Squared Error ➖ model.coef_? model.intercept_? model.predict? Why choose this notebook: The main goal of this notebook is to intuitively understand how to use the concept of linear regression in machine learning algorithms to calculate/predict
- Python Tutorial 991 2025-01-17 22:13:09
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- Understanding Tuple Unpacking and Iteration in Python: A Beginner&#s Guide
- Ever juggled multiple objects at once? Python tuples do just that! This guide explores Python tuple unpacking and its use in list element swapping. Understanding this allows efficient multiple variable assignment from tuples. What are Tuples? Think
- Python Tutorial 244 2025-01-17 20:21:10
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- Distributed Programming: From Basics to Advanced Concepts
- Introduction Distributed programming is a cornerstone of modern software development, focusing on systems spanning multiple networked computers (nodes). These systems collaborate seamlessly to achieve complex tasks, sharing resources, data, and proce
- Python Tutorial 810 2025-01-17 18:12:08
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- Analyzing APIs with PyInterceptor
- PyInterceptor: A Python Function Call Interceptor for Non-Invasive Analysis PyInterceptor is a Python library currently under development (available on GitHub) designed for non-invasive interception and analysis of function calls. Imagine needing de
- Python Tutorial 241 2025-01-17 18:11:08
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- Building a Weather Data Analytics Pipeline with AWS and OpenWeatherMap API
- This blog post guides you through building a weather data analytics pipeline using the OpenWeatherMap API and AWS services. The pipeline fetches weather data, stores it in S3, catalogs it with AWS Glue, and allows querying with Amazon Athena. Projec
- Python Tutorial 338 2025-01-17 14:12:10
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- RandomPerspective in PyTorch
- Buy Me a Coffee☕ *Memos: My post explains RandomRotation(). My post explains RandomAffine(). My post explains RandomHorizontalFlip(). My post explains RandomVerticalFlip(). My post explains OxfordIIITPet(). RandomPerspective() can do perspe
- Python Tutorial 665 2025-01-17 12:10:10
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- Proxy IP efficiently helps crawl millions of data
- Big data is crucial for informed business decisions. However, web scraping at scale using a single IP often leads to access restrictions and IP blocks. Proxy IP services offer a powerful solution. This article details how to leverage proxy IPs for e
- Python Tutorial 608 2025-01-17 10:10:09
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- Using Django Fixtures with Foreign Keys Without Hardcoded IDs
- Django fixtures simplify loading sample data, but hardcoding foreign key IDs creates fragility. This approach breaks when IDs change or data moves between databases. The solution? Natural keys. They let you reference foreign keys using meaningful
- Python Tutorial 428 2025-01-17 08:11:38
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- The Simplest Free Weather API Integration with Python
- This can be used in any application with minimum lines of code. A simple way to get weather data using the WeatherXu API service. To get API Key: Go to WeatherXu's website Create a free account Navigate to your dashboard Copy your API key from the
- Python Tutorial 678 2025-01-17 04:10:14
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- How to Turn Your Open-Source Python Projects into a Money-Making Machine
- Imagine this: you’re a passionate developer, burning the midnight oil on an open-source Python project that solves a real problem. You release it into the wild, and it gains traction. People are using it, loving it, and praising your work. But here's
- Python Tutorial 236 2025-01-17 02:12:10
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- Top Shop To Buy Verified Cash App Accounts Today
- Securely Acquiring Verified Cash App Accounts Cash App's popularity for financial management necessitates understanding verified accounts and where to find them safely. This guide helps you navigate the options for purchasing verified Cash App accoun
- Python Tutorial 887 2025-01-17 00:12:10
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- Understanding *args and **kwargs in Python
- The magic of *args and **kwargs in Python: the secret to flexible functions In Python, *args and **kwargs are powerful tools for creating flexible functions that allow functions to accept a variable number of arguments. This is especially useful when you don't know in advance how many arguments will be passed to the function. What are *args? *args allows a function to accept any number of positional arguments. These parameters are stored in a tuple. Example: def print_numbers(*args): for number in args: print(number) pri
- Python Tutorial 638 2025-01-16 22:16:13
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- Agentic AI : Building Production-Grade, Enterprise-Ready AI
- In the rapidly evolving world of artificial intelligence, Agentic AI stands out as a transformative technology for large enterprises. Unlike traditional AI, which relies on pre-programmed instructions, Agentic AI operates autonomously, adapting and
- Python Tutorial 452 2025-01-16 22:15:09
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- The impact of typing in Python
- Python version 3.5 introduced "type hints" to make the code more readable and make it easier for developers to understand each other's code. Why are type hints important? In strongly typed languages such as Java and C, dependency inversion (DI - Dependency Inversion) is an important technology, but it is difficult to implement in weakly typed languages. The core idea of dependency inversion is that classes should not rely on concrete implementations, but on abstractions. Because abstractions (interfaces or abstract classes) are relatively stable contracts. Bad example: class GasStation: def fill_tank(car, amount): c
- Python Tutorial 676 2025-01-16 22:13:14
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- Game Day Event Notification using AWS Serverless Services
- This real-time NBA game score alert system delivers game day updates to subscribers via SMS or email. Leveraging AWS services like SNS, Lambda (Python), and EventBridge, along with the SportsData.io NBA API, it provides an efficient notification fra
- Python Tutorial 822 2025-01-16 20:16:10
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