Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 30, 2024Day 13: Advanced EDA TechniquesWelcome to Day 13! Today, we’re building on the foundational EDA techniques we explored yesterday by diving into advanced EDA methods. These approaches help us uncover deeper insights, especially in larger or more complex datasets. Advanced EDA Tech...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 29, 2024Day 12: Exploratory Data Analysis (EDA) TechniquesWelcome to Day 12! Today, we’re diving into Exploratory Data Analysis (EDA), a critical step in any data science project. EDA helps us uncover patterns, relationships, and distributions within our data, providing insights to guide further analysis an...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 28, 2024Day 11: Feature EngineeringWelcome to Day 11! Today, we’re focusing on feature engineering, one of the most creative and impactful stages in any data science project. Feature engineering involves creating, modifying, or selecting features to improve the performance of machine ...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 27, 2024Day 10: Data TransformationWelcome to Day 10! Today, we’re diving into data transformation, an essential step to prepare raw data for analysis and machine learning. Data transformation includes scaling, normalizing, encoding, and reshaping data, ensuring it’s in the optimal fo...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 26, 2024Day 9: Cleaning Data (Handling Missing Data and Outliers)Welcome to Day 9! Today, we’re focusing on one of the most crucial steps in the data analysis process: cleaning data. This step ensures that the data is accurate, consistent, and ready for analysis. We will cover techniques for handling missing data ...30 Days Data Science ChallengePython
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 18, 2024Day 7: Overview of Progress and Future PlansToday, I'm excited to share the progress made so far on my journey and provide a sneak peek into what’s to come. In this post, we’ll touch on a few key points that illustrate how everything is coming together and where we’re heading next. Flashcard A...30 Days Data Science ChallengeData Science
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 17, 2024Day 6: Flashcard Data - Organization and ScalabilityIn today’s post, we will explore the data behind our Python flashcard app, which is stored in a TypeScript file. The main focus will be on the content of the flashcards — the questions, answers, explanations, and code examples that make up the heart ...30 Days Data Science ChallengeData Science
Aditya Singhadityas1309.hashnode.dev·Nov 16, 2024Day 2: JavaScript Fundamentals and Best PracticesIntroduction: In today’s learning session, I explored some important aspects of JavaScript, including MIME types, strict mode, targeting legacy browsers, JavaScript output techniques, and various methods of accessing HTML elements. This post will cov...JavaScriptJavaScript
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 16, 2024Day 5: Flashcard App - A Python Learning Tool for BeginnersWelcome to Day 5 of my Data Science and Python journey! Today, we're diving into the creation of a simple yet powerful Flashcard app that helps learners (like myself!) review Python basics. Flashcards are a fantastic way to test memory retention and ...30 Days Data Science ChallengeData Science
Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 15, 2024Day 4: Mastering Python Libraries for Data Science – The Essential ToolkitOn Day 4 of our Data Science journey, we're diving deep into the libraries that power data analysis and machine learning. Python's ecosystem is rich with tools that simplify and accelerate the process of solving real-world problems. From data manipul...30 Days Data Science ChallengeData Science
