# Analytics Vidhya — Machine Learning & Data Sci.

> Interactive learning platform for data science, machine learning, and AI. (iPhone/iPad app by Analytics Vidhya Educon Private Limited.)

- Source: https://appshunter.io/ios/app/analytics-vidhya/id1470025572 (this page in markdown: same URL + `.md`)
- Developer: [Analytics Vidhya Educon Private Limited](https://appshunter.io/developer/1441937302)
- Category: Education
- Price: Free
- Rating: 3.73/5 from 11 App Store ratings · 5 written reviews indexed
- Age rating: 4+
- Requires: iOS 9.0 · 14 MB
- Languages: English
- Released: 2019-07-19
- Data updated: 2026-08-18
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/analytics-vidhya/id1470025572/reviews.md

## What is Analytics Vidhya?

Analytics Vidhya is India's largest and the world's 2nd largest data science community. 
We aim to help you learn concepts of data science, machine learning, deep learning, big data & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels.
 
Analytics Vidhya app provides high quality learning resources for data science professionals, data engineers and students who want to study data science and machine learning algorithms, along with codes. 

Some of the popular posts on the app

• A Comprehensive Learning Path for Deep Learning in 2019

• The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019

• A Complete Tutorial to Learn Data Science with Python from Scratch

• Essentials of Machine Learning Algorithms (with Python and R Codes)

• An Introduction to Implementing Neural Networks using TensorFlow

• A Complete Guide on Getting Started with Deep Learning in Python

• Tips and Tricks to Ace Data Science Interviews 

•  7 Types of Regression Techniques you should know!

• A Complete Tutorial on Ridge and Lasso Regression in Python

• Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)

• Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

• A Simple Introduction to Facial Recognition (with Python codes)

• 30 Questions to test your understanding of Logistic Regression

• A Complete Tutorial on Tree Based Modeling from Scratch in R & Python


• The most comprehensive Data Science learning plan

• 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)

• Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

• Solving Multi-Label Classification problems (Case studies included)

• Understanding Support Vector Machine algorithm from examples (along with code)

• Architecture of Convolutional Neural Networks (CNNs) demystified

• Complete Guide to Parameter Tuning in XGBoost (with codes in Python)

• Practicing Machine Learning Techniques in R with MLR Package

• Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series

Machine Learning and Deep Learning Algorithms:
• Linear and Logistic Regressions
• NaiveBayes
• Neural Networks
• Decision Trees
• Convolutional Neural Networks
• Long Short Term Memory – Recurrent Neural Networks
• SVM (Support Vector Machines)
• Restricted Boltzmann Machines
• Restricted Boltzmann Machines

Learn libraries and tools:
• Pandas
• Matplotlib
• Scikit-learn
• TensorFlow
• Caffe
• PyTorch
• XGBoost
• eras
• PySpark

Top categories & topics
Data Science
Big data
Business analytics
Deep learning
Machine learning
NLP (Natural Language Processing)
Reinforcement Learning
Neural Network (Traditional and Convolutional)
Supervised Learning
Unsupervised Learning
Modeling in Python and R
Time Series Analysis
Data Engineering

We have more than 200,000 registered users to our blog and newsletter and more than 2.4 million monthly visits on our portal. People engage on Analytics Vidhya to learn from thought leaders and industry experts, participate in hiring, branding & problem solving/crowd sourcing hackathons on our Global DataHack Platform ( https://datahack.analyticsvidhya.com/contest/all/) in areas such as Artificial Intelligence, Machine Learning , Data Engineering, Data Mining and Advanced Analytics, and also engage in discussions to share ideas and solve data related business problems for organisations. Over the past 2 years we have engaged in more than 60 hackathons with some of the leading global companies in the world & in India. We also have a dedicated platform for courses (https://trainings.analyticsvidhya.com/) created by the best in data science where you can enroll in courses and sharpen your skillset. 

Privacy: https://www.analyticsvidhya.com/privacy-policy/
Terms: https://www.analyticsvidhya.com/terms/

## Key features

- Data science learning paths
- Machine learning algorithms
- Deep learning tutorials
- AI concepts
- Python and R code examples
- Big data tools

## Recent user reviews (5 of 5)

All indexed reviews: https://appshunter.io/ios/app/analytics-vidhya/id1470025572/reviews.md

### 1/5 — Terrible Search filter

*2024-01-05*

They need to fix the search filter as it predicts what you’re going to type and searches for it before you’ve finished typing, rendering it pretty unusable. I deleted the app within a minute of installing. Shame as it’s one of my favourite blogs for reading about data science

### 5/5 — Amazing and inspiring!!!

*2023-09-23*

At Analytics Vidhya, I've been taking a machine learning course. It's a lot of fun! It's well-organized and explained. The articles available on their platform are excellent! I am truly inspired. I'm looking forwards to seeing this platform grow. 

Thanks, team Analytic Vidhya!!!❤️

### 1/5 — The search in app is awful!

*2021-01-01*

The app itself is alright but they put this very disruptive autocomplete search that doesn’t let you search at all.

### 4/5 — I love the articles.. great app

*2020-02-28*

Great app, good content, but why does the title of each article take up almost 1/2 the page. Can you make title smaller. Everything else is perfect

### 1/5 — Unable to login

*2020-01-23*

Unable to login through app. I can login through web browser with same credentials. Please fix this.

## Frequently asked questions about Analytics Vidhya

### What is Analytics Vidhya?

Analytics Vidhya is a platform dedicated to helping users learn data science, machine learning, deep learning, big data, and artificial intelligence concepts interactively. It provides resources for beginners to advanced learners.

### What topics does Analytics Vidhya cover?

Analytics Vidhya covers a wide range of topics including Data Science, Big Data, Business Analytics, Deep Learning, Machine Learning, NLP, Reinforcement Learning, Neural Networks, Supervised and Unsupervised Learning, and Time Series Analysis.

### Does Analytics Vidhya offer coding examples?

Yes, Analytics Vidhya provides numerous tutorials with Python and R code examples for various machine learning algorithms and data science techniques.

### What programming languages and libraries are covered?

The app covers popular languages like Python and R, and libraries/tools such as Pandas, Matplotlib, Scikit-learn, TensorFlow, Caffe, PyTorch, XGBoost, and PySpark.

### Is Analytics Vidhya suitable for beginners?

Yes, Analytics Vidhya aims to help users learn concepts from the basics right up to very advanced levels, making it suitable for beginners in data science and machine learning.

### What is the user rating for Analytics Vidhya?

Analytics Vidhya has a rating of 3.7 stars based on 11 ratings.

### What devices is Analytics Vidhya available on?

Analytics Vidhya is supported on iPhone and iPod devices.

### How often is Analytics Vidhya updated?

Analytics Vidhya was last updated on July 19, 2019, with version 1.0. The app was released on the same date.

## Version history (last 1 release)

### 1.0 — 2019-07-19

No release notes.

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All apps by Analytics Vidhya Educon Private Limited: https://appshunter.io/developer/1441937302

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-18.*