Machine Learning

From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles

# Import necessary libraries for preprocessing import pandas as pd from sklearn.pipeline import Pipeline from sklearn.impute import SimpleImputer from sklearn.preprocessing import OrdinalEncoder, OneHotEncoder, FunctionTransformer from sklearn.compose import ColumnTransformer   # Load the dataset Ames = pd.read_csv(‘Ames.csv’)   # Convert the below numeric features to categorical features Ames[‘MSSubClass’] = Ames[‘MSSubClass’].astype(‘object’) Ames[‘YrSold’] = Ames[‘YrSold’].astype(

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Machine Learning

5 Free Courses to Master Deep Learning in 2024

5 Free Courses to Master Deep Learning in 2024Image by Author AI applications are everywhere. I use ChatGPT on a daily basis — to help me with work tasks, and planning, and even as an accountability partner. Generative AI hasn’t just transformed the way we work. It helps businesses streamline operations, cut costs, and improve efficiency. As companies rush to implement generative AI solutions, there has been an unprecedented surge in the demand for AI skills. There hasn’t been a better time to […]

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Machine Learning

The Concise Guide to Feature Engineering for Better Model Performance

The Complete Guide to Feature Engineering for Better Model Performance Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature engineering and how to use it to get better results. What is Feature Engineering? Raw data is often messy and not ready for predictions. Features are important details in your data. They help the model understand and make predictions. Feature engineering improves these features to make them more useful. Modeling […]

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Machine Learning

5 Real-World Machine Learning Projects You Can Build This Weekend

5 Real-World Machine Learning Projects You Can Build This WeekendImage by Author | Created on Canva Building machine learning projects using real-world datasets is an effective way to apply what you’ve learned. Working with real-world datasets will help you learn a great deal about cleaning and analyzing messy data, handling class imbalance, and much more. But to build truly helpful machine learning models, it’s also important to go beyond training and evaluating models and build APIs and dashboards as needed. […]

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Machine Learning

From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis

From Data to Insights: A Beginner’s Journey in Exploratory Data AnalysisImage by Editor | Ideogram Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows you to explore and understand your data better. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow. What is Exploratory Data Analysis? Exploratory Data Analysis (EDA) is the process of examining your […]

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Python

Quiz: Using Python’s pip to Manage Your Projects’ Dependencies

Interactive Quiz ⋅ 8 QuestionsBy Philipp Acsany Share In this quiz, you’ll test your understanding of Python’s standard package manager, pip. You’ll revisit the concepts behind pip, important commands, and how to install packages. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score is 100%. Good luck! « Browse All Python Quizzes    

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Python

Python 3.13 Preview: Free Threading and a JIT Compiler

Although the final release of Python 3.13 is scheduled for October 2024, you can download and install a preview version today to explore the new features. Notably, the introduction of free threading and a just-in-time (JIT) compiler are among the most exciting enhancements, both designed to give your code a significant performance boost. Check out what’s new in the Python changelog for a complete list of the upcoming features and improvements. This document contains a quick summary of the release […]

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Python

Let’s build and optimize a Rust extension for Python

If your Python code isn’t fast enough, you have many options for compiled languages to write a faster extension. In this article we’ll focus on Rust, which benefits from: Modern tooling, including a package repository called crates.io, and built-in build tool (cargo). Excellent Python integration and tooling. The Rust package (they’re known as “crates”) for Python support is PyO3. For packaging you can use setuptools-rust, for integration with existing setuptools projects, or for standalone extensions you can use Maturin. Memory- […]

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Python

Customizing VS Code Through Color Themes

A well-designed coding environment not only enhances your focus and productivity but also makes coding sessions more enjoyable. In this Code Conversation, your instructor Philipp Acsany will guide you step-by-step through the process of finding, installing, and adjusting color themes in VS Code. You’ll explore the various options available in VS Code and learn how to make fine adjustments to create a setup that suits your personal preferences. In this video course, you’ll: Learn about Themes in VS Code Find […]

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