Toyinyayu.hashnode.dev·Aug 29, 2023The 9 Key Steps to Effective Data Analysis:Data analysis is a crucial process that empowers organizations to derive meaningful insights and make informed decisions. The following steps outline a comprehensive approach to successful data analysis: Define Objectives and Questions: Start by cle...Discuss·1 likeData Science
Uday Kiran Kavaturuudaykiran.tech·Jul 20, 2023Exploratory Data Analysis on Any DatasetI believe that data science can be done without machine learning, but the opposite is not possible. To do any bit of machine learning, we need to have a better and deeper understanding of the dataset at hand. The machine learning model is only as goo...DiscussData Science
Alfian Hanantioblog.amalhanaja.dev·Jul 3, 2023Turning Exploratory into ActionConsideration for categorical data Why perform EDA? Detecting patterns and relationships Generating questions or hypotheses Prepare data for machine learning model Representative data Sample represents the population Categorical classes Class...DiscussExploratory Data Analysis in PythonData Science
Akshat Guptaakshato2.hashnode.dev·Jun 25, 2023Exploratory Data Analysis -'Century Analysis'Introduction Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources ...SANKALP PANDEY and 2 others are discussing this3 people are discussing thisDiscuss·14 likes·44 readsdata analysis
Mayank Sahaicodingmoon.hashnode.dev·Jun 3, 2023Introduction to Amazon Athena: A Fast and Cost-Effective Serverless Query ServiceAmazon Athena is a serverless, interactive query service that makes it easy for me to analyze data in Amazon S3 using standard SQL. With its speed, cost-effectiveness, and user-friendly interface, Athena has become my go-to solution for efficient dat...Discuss·1 likeAmazon Athena: Step-by-Stepaws athena
Akash Kumarakashkunwar.hashnode.dev·Apr 24, 2023Data Visualization Tools: Making Complex Data Analysis Simple and AccessibleThe visualization of data allows us to easily analyze and understand complex information in a graphical or pictorial format. Data visualization tools help transform raw data into meaningful insights by creating visually appealing and interactive visu...Discuss·10 likes·51 readsdata visualization
Akash Kumarakashkunwar.hashnode.dev·Apr 21, 2023Exploratory data analysis (EDA) : A step-by-step guideExploratory data analysis (EDA) is an essential step in data analysis. In this process, patterns, relationships, and anomalies are uncovered by analyzing and understanding the data without making any assumptions about the population in which the data...Discuss·35 readseda
Rhythm Rawatrhythmblogs.hashnode.dev·Mar 30, 2023Streamline Your Data Science Workflow: Essential 20 Pandas Functions You Must MasterHey guys, hope you are doing great. Pandas is a powerful data manipulation library in Python that is widely used in data science. In this blog, we will explore 20 pandas functions that can cover 80% of your data science tasks, from loading data to da...Discuss·55 readsPython
Rhythm Rawatrhythmblogs.hashnode.dev·Mar 28, 2023Everything you need to know about Feature EngineeringHey guys, hope you are doing great. In the previous article, we understood Exploratory Data Analysis. In this article, you'll know everything about feature engineering. Feature engineering is the process of creating new features from existing data th...Discuss·35 readsfeature engineering
Rhythm Rawatrhythmblogs.hashnode.dev·Mar 27, 2023Everything you need to know about Exploratory Data AnalysisExploratory Data Analysis (EDA) is an important step in the data analysis process that involves examining and visualizing data to extract insights and discover patterns. It is an iterative process that helps analysts to understand the data, uncover r...Discuss·73 readsexploratory data analysis
