Analytics Vidhya

AUGUST 5, 2022

Introduction One of the most important applications of Statistics is looking into how two or more variables relate. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value.

Statistics 375

Statistics Measurement Testing Data Science 375

Analytics Vidhya

FEBRUARY 25, 2021

Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Machine Learning 397

Machine Learning Data Science Publishing Analytics 397

Analytics Vidhya

NOVEMBER 20, 2024

A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction.

Statistics 198

Statistics Machine Learning Data Science Modeling 198

Analytics Vidhya

JULY 25, 2022

Introduction Let’s have a simple overview of what Machine Learning is. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

Machine Learning 271

Machine Learning Predictive Modeling Statistics Data Science 271

Analytics Vidhya

MARCH 16, 2021

The post Machine Learning with Python- Gaussian Naive Bayes appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article assumes that you possess a basic knowledge.

Machine Learning 376

Machine Learning Data Science Publishing Analytics 376

Analytics Vidhya

NOVEMBER 24, 2020

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. This article was published as a part of the Data Science Blogathon.

Machine Learning 370

Machine Learning Metrics Data Science Publishing 370

Analytics Vidhya

APRIL 23, 2021

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. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Statistics 306

Statistics Data Science Machine Learning Publishing 306

Analytics Vidhya

APRIL 28, 2020

The post Statistics for Data Science: What is Normal Distribution? Introduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people. appeared first on Analytics Vidhya.

Statistics 380

Statistics Data Science Analytics IT 380

Analytics Vidhya

AUGUST 30, 2022

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. It provides […].

Statistics 343

Statistics Data Science Publishing Analytics 343

Analytics Vidhya

JANUARY 24, 2023

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. Statistical models […] The post Learning Time Series Analysis & Modern Statistical Models appeared first on Analytics Vidhya.

Statistics 328

Statistics Modeling Finance Technology 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 Finance Marketing Analytics 380

Analytics Vidhya

SEPTEMBER 29, 2020

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

Machine Learning 374

Machine Learning Modeling Data Science Publishing 374

Analytics Vidhya

JULY 9, 2024

Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence.

Machine Learning 255

Machine Learning Metrics Deep Learning Statistics 255

Analytics Vidhya

JANUARY 5, 2020

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we. The post Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020 appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Analytics Deep Learning Statistics 400

Analytics Vidhya

DECEMBER 2, 2024

As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios.

Statistics 208

Statistics Machine Learning Measurement Modeling 208

Analytics Vidhya

NOVEMBER 25, 2024

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics and machine learning. Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena.

Statistics 204

Statistics Machine Learning Modeling Analytics 204

Analytics Vidhya

JUNE 26, 2023

Introduction “Data Science” and “Machine Learning” are prominent technological topics in the 25th century. They are utilized by various entities, ranging from novice computer science students to major organizations like Netflix and Amazon. appeared first on Analytics Vidhya.

Machine Learning 323

Machine Learning Data Science Big Data Measurement 323

Analytics Vidhya

AUGUST 5, 2019

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Machine Learning 308

Machine Learning Metrics Modeling Analytics 308

Analytics Vidhya

OCTOBER 12, 2020

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. This article was published as a part of the Data Science Blogathon.

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

Analytics Vidhya

JUNE 1, 2021

The post How to Learn Mathematics For Machine Learning? 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. 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

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

Analytics Vidhya

AUGUST 13, 2019

And how do they work in machine learning algorithms? The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya. Overview What are loss functions? Find out in this article Loss functions are actually at.

Machine Learning 304

Machine Learning Analytics Statistics 304

Analytics Vidhya

JUNE 14, 2021

The post Introductory Statistics for Data Science! 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. appeared first on Analytics Vidhya.

Statistics 234

Statistics Data Science Publishing Analytics 234

Analytics Vidhya

OCTOBER 6, 2020

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. This article was published as a part of the Data Science Blogathon.

Statistics 291

Statistics Data Science Publishing Analytics 291

Analytics Vidhya

JUNE 27, 2021

The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya. 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.

Statistics 228

Statistics Testing Data Science Publishing 228

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

Visualization Data Science Statistics Machine Learning 398

Analytics Vidhya

JULY 5, 2022

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%. This article was published as a part of the Data Science Blogathon.

Statistics 353

Statistics Machine Learning Data Science Publishing 353

Analytics Vidhya

MAY 21, 2021

The post Complete Guide to Regularization Techniques in Machine Learning appeared first on Analytics Vidhya. 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.

Machine Learning 235

Machine Learning Data Science Publishing Analytics 235

Analytics Vidhya

NOVEMBER 27, 2021

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. One of the popular statistical processes is Hypothesis Testing having vast usability, not […].

Testing 341

Testing Statistics Deep Learning Machine Learning 341

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

MARCH 8, 2023

Introduction Statistics can be traced back to the mid-18th century, while Data Science is a relatively new concept. The term Data science was created in the 1960s and is deeply rooted in statistics but now has evolved into artificial intelligence, machine learning, etc.

Statistics 328

Statistics Data Science Machine Learning Analytics 328

KDnuggets

MARCH 14, 2024

Ready to become a SAS Certified Specialist in Statistics for Machine Learning? Here’s everything you need to know about the recently released certification from SAS.

Machine Learning 138

Machine Learning Statistics 138

Analytics Vidhya

MARCH 26, 2023

Introduction R is a powerful and versatile programming language used for statistical analysis, data visualization, and machine learning. The success of a data analysis project relies on properly importing the data into R.

Statistics 318

Statistics Machine Learning Visualization Analytics 318

Analytics Vidhya

OCTOBER 17, 2022

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

Data Science 364

Data Science Statistics Machine Learning Visualization 364

Analytics Vidhya

MAY 19, 2024

These channels cover various aspects of Python, from statistics to machine learning, AI, and data science. Introduction This article highlights 10 exceptional YouTube channels that provide comprehensive tutorials, practical guidance, and engaging content for mastering Python programming.

Statistics 328

Statistics Machine Learning Data Science Analytics 328

Analytics Vidhya

JANUARY 29, 2022

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

Statistics 337

Statistics Machine Learning Data Science Publishing 337

Analytics Vidhya

JANUARY 10, 2023

It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years.

Data Science 335

Data Science Machine Learning Statistics Analytics 335