Nischal Baidarnischalbaidar.hashnode.dev路Oct 20, 2024Day 16 - Univariate Exploratory Data Analysis (EDA) in PythonExploratory Data Analysis (EDA) is a critical step in any data analysis or data science project. It helps us understand the underlying patterns, spot anomalies, and check assumptions about the data before we dive deeper into modeling. What is Univari...Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 19, 2024Day 15 - Understanding Your Data by Asking QuestionsWhen working with data, the first step to making sense of it is to ask the right questions. These questions guide your exploration and help you gather insights before diving into any analysis or modeling. How Big is the Data? Check the number of ro...Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 18, 2024Day 14 - Fetching Data Using Web ScrapingWeb scraping is the process of automatically extracting data from websites. Instead of clicking through pages and manually copying information, web scraping allows you to gather large amounts of data quickly and efficiently. This is especially handy ...Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 17, 2024馃 Machine Learning Terms You Must Know1. 馃 Algorithm Definition: A set of rules or steps that a machine follows to make decisions or predictions. Real-life example: Like a chef following a recipe to bake a cake 馃嵃, an ML algorithm follows specific steps to learn from data and make pre...Discusseasyterms
Nischal Baidarnischalbaidar.hashnode.dev路Oct 17, 2024Day 13 - Fetching Data from an API and Converting to a DataFrame in PythonAPIs provide dynamic data that can be easily fetched and transformed into a pandas DataFrame for analysis. Here's a simple guide on how to do it. 1. Fetching Data from an API Use the requests library to get data from an API. import requests response ...Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 16, 2024Day 12 - Reading JSON and SQL Data in PythonIn Python, working with JSON and SQL data is common in data processing, web scraping, or API integration. Whether you're dealing with data in a file, from an API, or from a database, Python offers powerful libraries to manage these tasks efficiently....Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 15, 2024Day 11 - Working with CSV Files Using PandasWhen working with data in Python, CSV (Comma-Separated Values) files are one of the most commonly used formats for data storage and exchange. Pandas, a powerful data manipulation library, makes it extremely easy to load, manipulate, and analyze CSV f...Discussnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 3, 2024Getting Started with Linux: Essential Commands for BeginnersLinux is a powerful and versatile operating system, loved by developers, system administrators, and tech enthusiasts alike. It's open-source, highly customizable, and perfect for those who enjoy understanding how their system works at a deeper level....Discuss路35 readsnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Oct 1, 2024Mistakes I Made While Learning Machine Learning (And How to Avoid Them)Hey everyone! When I started learning machine learning (ML), I made a bunch of mistakes that slowed me down. Here are some of the things I wish I knew earlier. Hopefully, this helps you avoid them! 馃槉 1. Setting Unrealistic Goals 馃殌 At first, I thou...Discuss路53 readsnischal_baidar
Nischal Baidarnischalbaidar.hashnode.dev路Aug 25, 2024Day 10 - Framing a Machine Learning Problem馃幆 1. Define the Problem Statement Every machine learning project begins with a clear problem statement. What exactly are we trying to solve? 馃 For instance, imagine we want to predict whether a customer will buy a product based on their browsing hi...Discuss路33 readsframing a ml problem
