pallavi chauhaninnovateitworld.hashnode.dev·Nov 19, 2024Top Data Visualization Tools for Data Scientists in 2024Data visualization is a core skill for data scientists, enabling them to transform raw data into clear and actionable insights. It plays a vital role in storytelling and decision-making, making it an indispensable tool in the data science arsenal. As...DiscussSAS Visual Analytics
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
Sai Sravanthisaisravanthi.hashnode.dev·Oct 12, 2024Using Python for Data Analysis: Libraries and Best PracticesPython has become the go-to language for data analysis due to its simplicity, versatility, and powerful libraries. With an active community and extensive documentation, it enables both beginners and experienced analysts to manipulate, analyze, and vi...DiscussPython
Anix LynchProanixblog.hashnode.dev·Oct 8, 202426 Type of Seaborn Plots With Samples1. Relationship Plots (Visualize relationships between variables) relplot: High-level function to draw scatter or line plots. scatterplot: Plot individual data points with optional grouping. lineplot: Show trends by connecting data points with a l...Discussseaborn
Anix LynchProanixblog.hashnode.dev·Oct 3, 202420 Seaborn concepts with Before-and-After Examples1. Line Plot (seaborn.lineplot) 📉 Boilerplate Code: import seaborn as sns Use Case: Create a line plot to display trends over time or ordered data. 📉 Goal: Visualize continuous data over a range or time. 🎯 Sample Code: # Example data data = [1, 2...Discussseaborn
NAGARAJU ALOORIaloori080898.hashnode.dev·Sep 17, 2024Building a California Housing Price Prediction Model Using Gradient Boosting and Feature Selection: A Comprehensive GuideIn this project, we aim to build a robust machine learning model to predict house prices in California using the California Housing dataset. By utilizing a powerful algorithm like Gradient Boosting Regressor and applying advanced techniques such as F...Discusspandas
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 12, 2024Top Python Libraries for Data Science in 2024The rapid growth of data science has led to the emergence of a powerful ecosystem of Python libraries designed for every step of the data science workflow: data manipulation, visualization, machine learning, deep learning, and statistical analysis. I...Discuss·11 likes·36 readsPythontop python libraries for data science in 2024
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024Automating Data Cleaning with Python and Machine LearningData cleaning is an essential step in the data preprocessing pipeline, accounting for the majority of the time spent on data-related tasks. Dirty data—missing values, incorrect formats, duplicates, and outliers—can significantly affect machine learni...Discuss·10 likesPythonPython
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024How to Create and Train a Machine Learning Model from ScratchMachine learning (ML) has revolutionized the way we approach problem-solving, enabling computers to learn from data and make decisions or predictions. In this blog, we’ll walk through the process of creating and training a machine learning model from...Discuss·166 readsMachine Learningbuild model
Emeron Marcelleemerondomain.hashnode.dev·Sep 1, 2024Visualizing Data with Seaborn in PythonSeaborn is a powerful data visualization library built on top of Matplotlib in Python. It provides a high-level interface for drawing attractive and informative statistical graphics. In this blog post, we will explore some of the most commonly used S...Discussseaborn
