Sutapa Biswassutto.hashnode.dev·Nov 28, 2024Python Pandas for Data Analysis (Learn what Matters)What is Pandas? Pandas is a Python library designed to handle structured data easily. It offers powerful data structures, namely Series and DataFrames, to manage and manipulate data effectively. With Pandas, you can clean, analyze, and even visualize...Discusspandas
pallavi chauhaninnovateitworld.hashnode.dev·Nov 26, 2024Why Python is the Ultimate Programming Language for Data ScienceData science is revolutionizing industries by uncovering actionable insights from raw data. To excel in this field, choosing the right programming language is crucial. Among the many options available, Python has firmly established itself as the go-t...DiscussPyTorc,
S.S.S DHYUTHIDHARsudheendra.hashnode.dev·Nov 21, 2024Practical Data Science: Rectangular Data and Estimation Techniques in SQLHey everyone, welcome back! If you’re new here, I’m Dhyuthidhar Saraswathula. I write blogs focused on computer science, with a special emphasis on data science and analytics. Today, let’s dive into Rectangular Data and the SQL techniques used to ana...DiscussMachine Learning
Jason Malefakiswayo.hashnode.dev·Nov 15, 2024Why Pandas is Essential to Efficient Data EngineeringPython is the quintessential data analytics language with its simplicity, versatility, and huge library ecosystem. Though Python on its own seriously tackles many data tasks, the Pandas library (a portmanteau of panel data - multi-dimensional data se...Discusspandas
Steve Hatmaker Jr.stevehatmakerjr.com·Nov 12, 2024Finding eBay Items with Python and Exporting to ExcelWhy Build an eBay Search Tool? If you collect items like entertainment memorabilia or retro gaming consoles, you know that finding specific listings can be time-consuming. This Python program automates that search by connecting to the eBay API, retri...Discussebay search
Rohit Kumarcustomer-demographic-analysis.hashnode.dev·Nov 5, 2024Exploring Customer Demographics with Data Analysis: Insights from Istanbul's Shopping MallsIntroduction This project is a deep dive into customer demographic analysis, exploring shopping trends across 10 malls in Istanbul from 2021 to 2023. Through this dataset, I aimed to uncover insights about customer behavior, from spending habits acro...Discuss·1 likedata analysis
Ashmit Kantiashmitandcoding.hashnode.dev·Oct 24, 2024All about Pandas and NumpyNumpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Guide to Numpy: - NumPy user...Discusspandas
Sachin Palteamgeek.geekpython.in·Oct 23, 2024Pandas df.ffill() and df.bfill()The DataFrame.ffill() (forward fill) propagates missing or NaN values using the previous valid value in a column or row, while DataFrame.bfill() (backward fill) propagates them using the next valid value. Let's see how and when to use them. DataFrame...Discusspandas
Roemairoemai.hashnode.dev·Oct 21, 2024Real-Life House Price Prediction with Linear RegressionPredicting house prices is a key part of real estate analytics, and in this project, I’ll walk you through how I built a machine learning model using linear regression to predict house prices. Project Overview We start with a dataset that contains in...DiscussArtificial Intelligence
Sai Sravanthisaisravanthi.hashnode.dev·Oct 21, 2024Data Cleaning Best PracticesIn the world of data analysis, data cleaning is a crucial but often overlooked step. The quality of your analysis is only as good as the data you're working with. Even the most sophisticated algorithms and models will fail if the underlying data is m...Discussdata cleaning
