Analytics Vidhya

NOVEMBER 24, 2020

This article was published as a part of the Data Science Blogathon. A Tour of Evaluation Metrics for Machine Learning After we train our. The post A Tour of Evaluation Metrics for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 370

Machine Learning Metrics Data Science Publishing 370

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Let’s have a simple overview of what Machine Learning is. The post Machine Learning Paradigms with Example appeared first on Analytics Vidhya. Source: [link] For […]. Source: [link] For […].

Machine Learning 271

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Analytics Vidhya

APRIL 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Statistics is the heart of Machine Learning Statistical methods. The post 25 Probability and Statistics Questions to Ace your Data Science Interviews appeared first on Analytics Vidhya.

Statistics 306

Statistics Data Science Machine Learning Publishing 306

Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science.

Statistics 343

Statistics Data Science Publishing Analytics 343

Analytics Vidhya

SEPTEMBER 29, 2020

This article was published as a part of the Data Science Blogathon. The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya. Introduction Yesterday, my brother broke an antique at home. I began to.

Machine Learning 374

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Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

Machine Learning 358

Machine Learning Data Science Publishing Analytics 358

Analytics Vidhya

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

Analytics Vidhya

JUNE 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In applied Statistics and Machine Learning, Data Visualization is one. The post Must Known Data Visualization Techniques for Data Science appeared first on Analytics Vidhya.

Visualization 398

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Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Imbalanced Datasets The accuracy achieved by many of the machine learning models using traditional statistical algorithms increases by just around 2% or so when the size of the training dataset is increased from 20% to 80%.

Statistics 353

Statistics Machine Learning Data Science Publishing 353

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction The first step in a data science project is to summarize, The post A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data appeared first on Analytics Vidhya.

Statistics 291

Statistics Data Science Publishing Analytics 291

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science. It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms.

Testing 341

Testing Statistics Deep Learning Machine Learning 341

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Science is an interdisciplinary field that uses various algorithms. The post Introductory Statistics for Data Science! appeared first on Analytics Vidhya.

Statistics 234

Statistics Data Science Publishing Analytics 234

Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Selection is the process of selecting the features which. The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya.

Statistics 228

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Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Whenever we build any machine learning model, we feed it. The post 4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code) appeared first on Analytics Vidhya.

Machine Learning 257

Machine Learning Modeling Data Science Publishing 257

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction One of the most common problems every Data Science practitioner. The post Complete Guide to Regularization Techniques in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 235

Machine Learning Data Science Publishing Analytics 235

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Introduction You may be asked questions on various topics in a data science interview.

Data Science 364

Data Science Statistics Machine Learning Visualization 364

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

Analytics Vidhya

JANUARY 29, 2022

This article was published as a part of the Data Science Blogathon. It is a statistical classification algorithm. It boosts the performance of machine learning algorithms. AdaBoost stands for Adaptive Boosting. It is an algorithm that forms a committee of weak classifiers.

Machine Learning 337

Machine Learning Statistics Data Science Publishing 337

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions.

Statistics 397

Statistics Data Science Publishing Modeling 397

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […].

Modeling 290

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Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog post, I will summarise graph data science and how simple python commands can get a lot of interesting and excellent insights and statistics. It has become one of the hottest areas to research in data science and machine learning […].

Data Science 285

Data Science Statistics Machine Learning Publishing 285

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In most of the real-life problem statements of Machine learning, The post Complete Guide to Expectation-Maximization Algorithm appeared first on Analytics Vidhya.

Machine Learning 389

Machine Learning Data Science Publishing Analytics 389

Analytics Vidhya

JUNE 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data science interviews consist of questions from statistics and probability, Linear Algebra, Vector, Calculus, Machine Learning/Deep learning mathematics, Python, OOPs concepts, and Numpy/Tensor operations.

Data Science 269

Data Science Deep Learning Machine Learning Statistics 269

Analytics Vidhya

SEPTEMBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information.

Metadata 400

Metadata Statistics Data Science Publishing 400

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

Machine Learning 391

Machine Learning Data Science Data Collection Testing 391

Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Linear Regression? Regression is a statistical term for describing. The post Understanding Linear Regression with Mathematical Insights! appeared first on Analytics Vidhya.

Statistics 358

Statistics Data Science Publishing Analytics 358

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction We, as data science and machine learning enthusiasts, have learned about various algorithms like Logistic Regression, Linear Regression, Decision Trees, Naive Bayes, etc. But at the same time, are we preparing for the interviews?

Machine Learning 399

Machine Learning Data Science Publishing Analytics 399

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression is another statistical model which is used for. The post Geometrical Approach To Understand Logistic Regression appeared first on Analytics Vidhya.

Statistics 353

Statistics Data Science Publishing Modeling 353

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Machine learning or Deep Learning, some of the models. The post How to transform features into Normal/Gaussian Distribution appeared first on Analytics Vidhya.

Deep Learning 336

Deep Learning Machine Learning Data Science Publishing 336

Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

Testing 329

Testing Statistics Data Science Publishing 329

Analytics Vidhya

MARCH 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Multicollinearity is a topic in Machine Learning of which. The post Multicollinearity in Data Science appeared first on Analytics Vidhya.

Data Science 349

Data Science Machine Learning Publishing Analytics 349

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available.

Machine Learning 327

Machine Learning Data Science Publishing Modeling 327

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them during EDA. […].

Statistics 319

Statistics Data Science Publishing Analytics 319

Analytics Vidhya

JANUARY 16, 2023

This article was published as a part of the Data Science Blogathon. According to recent statistics, one-third of all food produced globally is wasted. Introduction In today’s world, where the population is increasing at an alarming rate, food waste has become a major issue.

Technology 319

Technology Management Statistics Data-driven 319

Analytics Vidhya

SEPTEMBER 14, 2021

This article was published as a part of the Data Science Blogathon R programing language was developed for statistical computing and graphics which makes it one of the desired candidates for Data Science and Analysis.

Visualization 316

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Analytics Vidhya

JANUARY 4, 2023

This article was published as a part of the Data Science Blogathon. Introduction Machine learning algorithms are one of the essential parameters while training and building an intelligent model for some of the problem statements. The Naive Bayes […].

Machine Learning 305

Machine Learning Data Science Publishing Modeling 305

Analytics Vidhya

SEPTEMBER 28, 2021

This article was published as a part of the Data Science Blogathon In this tutorial, we will learn: Introduction to Natural Language Processing Phases of Natural Language Processing Introduction to spaCy Installation and local setup of spaCy Statistical models available in spaCy Reading and processing text Spans Tokenization Sentence Detection Stopwords (..)

Statistics 315

Statistics Data Science Publishing Modeling 315