Analytics Vidhya

OCTOBER 12, 2023

Introduction Machine learning is a highly developing domain of technology at present. This technology allows computer systems to learn and make decisions without technical programming. It has a variety of applications, including recognizing patterns, data analysis, and improving performance over time.

Machine Learning 336

Machine Learning Machine Learning Data Analysis Data Analysis 336

Analytics Vidhya

JUNE 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Analysis is one major part that you must master before learning or diving into the machine learning algorithms section because data analysis is a process to explore the data to get a better understanding of data.

Data Analysis 328

Data Analysis Data Analysis Python Data Science 328

Analytics Vidhya

MAY 18, 2023

Data mining and machine learning are two closely related yet distinct fields in data analysis. What is data mining vs machine learning? This article aims to shed light on […] The post Data Mining vs Machine Learning: Choosing the Right Approach appeared first on Analytics Vidhya.

Data Mining 337

Data Mining Data Mining Data Mining Machine Learning 337

Analytics Vidhya

MAY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. In this article, I will […].

Machine Learning 400

Machine Learning Machine Learning Data Science Analytics 400

Analytics Vidhya

SEPTEMBER 9, 2021

Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. The post Everything you need to know about Hypothesis Testing in Machine Learning appeared first on Analytics Vidhya.

Hypothesis Testing 371

Hypothesis Testing Machine Learning Machine Learning Exploratory Data Analysis 371

Analytics Vidhya

JANUARY 25, 2023

Introduction Source – mccinnovations.com Do you ever wonder how companies develop and train machine learning models without experts? Well, the secret is in the field of Automated Machine Learning (AutoML).

Machine Learning 360

Machine Learning Machine Learning Analytics Analytics 360

Data Science Dojo

FEBRUARY 14, 2023

Data analysis is an essential process in today’s world of business and science. It involves extracting insights from large sets of data to make informed decisions. One of the most common ways to represent a data analysis is through code. However, is code the best way to represent a data analysis?

Data Analysis 364

Data Analysis Data Analysis Power BI Machine Learning 364

Analytics Vidhya

MARCH 9, 2023

Introduction Machine learning is a powerful tool for digital marketing that uses data analysis to predict consumer behavior and improve marketing campaigns. According to a […] The post 10 Ways to Use Machine Learning for Marketing in 2023 appeared first on Analytics Vidhya.

Machine Learning 317

Machine Learning Machine Learning Data Analysis Data Analysis 317

Analytics Vidhya

JULY 24, 2022

Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […].

Data Analysis 400

Data Analysis Data Analysis Exploratory Data Analysis Data Science 400

Analytics Vidhya

FEBRUARY 28, 2024

Introduction In the realm of data science, the initial step towards understanding and analyzing data involves a comprehensive exploratory data analysis (EDA). This process is pivotal for recognizing patterns, identifying anomalies, and establishing hypotheses.

Machine Learning 291

Machine Learning Machine Learning Exploratory Data Analysis EDA 291

Analytics Vidhya

JULY 5, 2022

Introduction Datasets are to machine learning models what experiences are to human beings. The post Outliers and Overfitting when Machine Learning Models can’t Reason appeared first on Analytics Vidhya. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange?

Machine Learning 396

Machine Learning Machine Learning Data Science Analytics 396

Analytics Vidhya

DECEMBER 21, 2023

Introduction Missing data is a common challenge in machine learning and data analysis. Handling it is crucial in data preprocessing for building accurate and reliable models. Scikit Learn is a savior if you face these issues very often.

Machine Learning 306

Machine Learning Machine Learning Data Analysis Data Analysis 306

Analytics Vidhya

JANUARY 13, 2023

This project is based on real-world data, and the dataset is also highly imbalanced. The post Machine Learning Solution Predicting Road Accident Severity appeared first on Analytics Vidhya. There are three types of injuries in a target variable: minor, severe, […].

Machine Learning 395

Machine Learning Machine Learning Data Science Analytics 395

Analytics Vidhya

MAY 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Data Analytics vs Data Analysis, Are they similar? If you have a basic knowledge of tech, you must have. appeared first on Analytics Vidhya.

Data Analysis 372

Data Analysis Data Analysis Analytics Analytics 372

Analytics Vidhya

JULY 14, 2023

Introduction As business data is growing more complicated with each passing day, advanced methods for understanding it are required. Traditional data analysis methods relied heavily on manual processes and limited computational capabilities. However, a new era has dawned with the emergence of AI tools.

Data Analysis 267

Data Analysis Data Analysis Machine Learning Machine Learning 267

Analytics Vidhya

MAY 30, 2023

Introduction In the realm of machine learning, the veracity of data holds utmost significance in the triumph of models. Inadequate data quality can give rise to erroneous predictions, unreliable insights, and overall performance.

Machine Learning 325

Machine Learning Machine Learning Data Quality Analytics 325

Analytics Vidhya

JANUARY 31, 2023

Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. But are they still useful without the data? The machine learning algorithms heavily rely on data that we feed to them. The answer is No.

Machine Learning 318

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 318

Analytics Vidhya

OCTOBER 10, 2022

Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them during EDA. […].

Exploratory Data Analysis 319

Exploratory Data Analysis Data Analysis Data Analysis EDA 319

Analytics Vidhya

JUNE 17, 2022

Introduction to Geospatial Data Analysis Geospatial data is any type of data that has certain geographic factors like latitude, longitude, etc. The post A Beginner’s Guide to Geospatial Data Analysis appeared first on Analytics Vidhya.

Data Analysis 328

Data Analysis Data Analysis Data Science Analytics 328

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning 380

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 380

Data Science Dojo

JULY 15, 2024

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Predict traffic jams by learning patterns in historical traffic data. Learn in detail about machine learning algorithms 2.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Reach the next level in your data analysis career by adding DuckDB into your data stack. Image by Author The life of a data analyst […]. The post The Guide to Data Analysis with DuckDB appeared first on Analytics Vidhya.

Data Analysis 337

Data Analysis Data Analysis Data Analyst SQL 337

Analytics Vidhya

SEPTEMBER 23, 2021

The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya. The situation is very alarming. It is time for the world to slowly adapt to electric vehicles. A lot of change needs to happen. Major carmakers like Tesla and Porsche manufacture […].

Data Analysis 367

Data Analysis Data Analysis Data Science Analytics 367

Analytics Vidhya

NOVEMBER 1, 2023

The answer lies in clustering, a powerful technique in machine learning and data analysis. Clustering algorithms allow us to group data points based on their similarities, aiding in tasks ranging from customer segmentation to image analysis.

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Clustering Machine Learning Machine Learning Algorithm 264

Data Science Dojo

JUNE 21, 2023

They skilfully transmute raw, overwhelming data into golden insights, driving powerful marketing strategies. And that, dear friends, is what we’re delving into today – the captivating world of data analysis in marketing. Data analysis in marketing is like decoding a treasure map. And guess what?

Data Analysis 366

Data Analysis Data Analysis Predictive Analytics Analytics 366

Analytics Vidhya

NOVEMBER 23, 2024

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information.

Data Analysis 208

Data Analysis Data Analysis Machine Learning Machine Learning 208

Analytics Vidhya

JUNE 21, 2023

Stress can be triggered by a variety of factors, such as work-related pressure, financial difficulties, relationship problems, health issues, or major life events. […] The post Machine Learning Unlocks Insights For Stress Detection appeared first on Analytics Vidhya.

Machine Learning 328

Machine Learning Machine Learning Analytics Analytics 328

Analytics Vidhya

MARCH 26, 2023

Introduction Artificial intelligence (AI) and machine learning (ML) are in the best swing to help businesses sharpen their edge over their competitors in the market. The value of the machine learning industry is estimated to be US $209.91

Machine Learning 318

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 318

Analytics Vidhya

APRIL 17, 2023

Introduction In the words of Nick Bostrom, “Machine learning is the last invention that humanity will ever need to make.” Let’s start etymologically; machine learning (ML) is a subset of artificial intelligence (AI) that trains systems to apply specific solutions rather than providing the solution itself.

Machine Learning 306

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 306

Analytics Vidhya

OCTOBER 10, 2024

Whether you’re involved in an experiment, simulations, data analysis or using machine learning, calculating square roots in Python is crucial. In this guide, you […] The post Python Square Root appeared first on Analytics Vidhya.

Python 208

Python Data Analysis Data Analysis Machine Learning 208

Analytics Vidhya

MARCH 5, 2023

It is typically made up of HTML (Hypertext Markup Language), which provides the structure and content of the page, and CSS (Cascading Style Sheets), which provides the styling information for how the page should be presented to […] The post How to Classify Web Pages Using Machine Learning? appeared first on Analytics Vidhya.

Machine Learning 328

Machine Learning Machine Learning Analytics Analytics 328

Analytics Vidhya

NOVEMBER 30, 2023

This feature […] The post ChatGPT’s Code Interpreter: GPT-4 Advanced Data Analysis for Data Scientists appeared first on Analytics Vidhya. One of the most exciting features of ChatGPT is its ability to generate code snippets in various programming languages, including Python, Java, JavaScript, and C++.

Data Analysis 328

Data Analysis Data Analysis Data Scientist Python 328

Towards AI

JANUARY 24, 2025

Photo by Stephen Dawson on Unsplash How cool it sounds Machine Learning In Healthcare to you? Machine learning trying to get on things in healthcare. Would they really accept a machines verdict? Using machine learning techniques/algorithms, we would try to predict whether a patient has diabetes or not.

Machine Learning 105

Machine Learning Machine Learning Data Analysis Data Analysis 105

Machine Learning Mastery

SEPTEMBER 20, 2024

What is Exploratory Data Analysis? […] The post From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis appeared first on MachineLearningMastery.com. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow.

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Exploratory Data Analysis Data Analysis Data Analysis EDA 277

Data Science Dojo

FEBRUARY 7, 2023

Get ahead in data analysis with our summary of the top 7 must-know statistical techniques. Master these tools for better insights and results. While the field of statistical inference is fascinating, many people have a tough time grasping its subtleties.

Data Analysis 368

Data Analysis Data Analysis Support Vector Machines Algorithm 368

Towards AI

DECEMBER 26, 2024

Improving your business is a daily and tedious task, but using competition data can provide interesting underlying insights. Data analysis lets you know how you stack against the competition and how to improve your assets, such as a website, opening hours, extra equipment, etc. This member-only story is on us.

Data Analysis 119

Data Analysis Data Analysis Python AI 119

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Geospatial data analysis is the study of geography, maps, and spatial relationships. In simpler terms, it’s about analyzing and making sense of data with a location component, such as a city, country, or building.

Data Analysis 291

Data Analysis Data Analysis Data Science Analytics 291