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Diversity of Variables in Statistics: A Guide for Data Professionals
Author(s): Anmol Tomar Originally published on Towards AI. Quantitative and Qualitative Variables: Unveiling the Dichotomy This member-only story is on us. Upgrade to access all of Medium. Pic Credits: Analytics Vidhya In statistics, understanding the types of data measurements is essential for …
The Evolution of Tabular Data: From Analysis to AI
Author(s): Abid Ali Awan Originally published on Towards AI. Discover how tabular data space is being transformed by Kaggle competitions, the open-source community, and Generative AI. Image by Author Introduction Tabular data refers to data organized into rows and columns. It encompasses …
From Data to Dollars: Using Linear Regression
Author(s): Roli Trivedi Originally published on Towards AI. Unraveling the Magic Behind Predictive Analytics Photo by PiggyBank on Unsplash Data-driven decision-making has become a game-changer for businesses in every industry. From optimizing marketing strategies to predicting customer behavior, data holds the key …
Team Up for Data Analysis Success: Discover Your Full Potential
Author(s): Amit Kumar Originally published on Towards AI. Data analysis is a constantly еvolving field that rеquirеs a divеrsе sеt of skills for succеss. For a data analyst, achieving this role is a significant accomplishmеnt. Howеvеr, it is еqually important to comprеhеnd …
All Statistical Tests using Python: Mastering Statistics | Part — 1
Author(s): Simranjeet Singh Originally published on Towards AI. Top highlight All Statistical Tests using Python: Mastering Statistics | Part — 1 Introduction Welcome to “Mastering Statistical Tests with Python: A Comprehensive Guide.” that will go over all the fundamental statistical tests and …
Introduction to PySpark via AWS EMR and Hands-on EDA
Author(s): Kunj Mehta Performing EDA on NY Taxi Fare Dataset to see PySpark in action — because cloud computing is the next big thing! Continue reading on Towards AI » Published via Towards AI …
Speed up EDA With the Intelligent Lux
Author(s): Pranavi Duvva Image by Colin Behrens from Pixabay Data Analysis Automate your visual data exploration with the new python library, Lux ?. Have you ever been tired of writing multiple lines of code even for a simple graph during EDA? Did you ever wish …
Exploratory Data Analysis in Few Seconds
Author(s): Juhi Sharma Data Analysis EDA through Pandas Visual Analysis Photo by lynn lynum on Unsplash EDA is a way to understand what the data is all about. It is very important as it helps us to understand the outliers, relationship of features within …
Titanic Survival Prediction — I
Author(s): Hira Akram Data Analysis Titanic Survival Prediction — I Exploratory Data Analysis and Feature Engineering on the Titanic dataset Artist: Graham Coton Titanic Kaggle competition is a great place to understand the machine learning pipeline. In this article, we will discuss the preliminary steps involved …
Banking Market Customer Analysis in Big Data Project
Author(s): Amit Chauhan The tool and language used in this analysis is spark and scala Continue reading on Towards AI » Published via Towards AI …
SweetViz for Quicker In-depth Exploratory Data Analysis
Author(s): Arunn Thevapalan Target analysis, feature analysis, correlation, all in a few lines of code — I’ve got screenshots. Continue reading on Towards AI » Published via Towards AI …
Exploring D-Tale for Data Exploration
Author(s): Rajvi Shah Introduction to D-Tale for Exploratory Data Analysis Continue reading on Towards AI » Published via Towards AI …
Big-Data Pipelines with SparkML
Author(s): Lawrence Alaso Krukrubo Data Analysis, Data Science, Machine Learning Creating Apache Spark ML Pipelines for Big-Data Analysis Photo by Rodion Kutsaev on Unsplash Pipelines are a simple way to keep your data preprocessing and modeling code organized. Specifically, a pipeline bundles preprocessing and modeling …
Exploratory Data Analysis: Baby Steps
Author(s): Swetha Lakshmanan Data science is often thought to consist of advanced statistical and machine learning techniques. However, another key component to any data science endeavor is often undervalued or forgotten: exploratory data analysis (EDA). It is a classical and under-utilized approach that …
Overview of Exploratory Data Analysis With Haberman Dataset
Author(s): Rajvi Shah A practical guide to get started to gain insights from your data. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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