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Analytics Vidhya - Machine Learning & Data Science APK - v1.0.16

616+ votes, 4.54/5

Best resources for data science, machine learning, deep learning & AI... [readmore]


⇣ Download APK (6.81 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

Version 1.0.16
Update
Size 6.81 MB
Category Education
Developer Analytics Vidhya
Downloads ↓ 101.9K
⇣ Download APK (6.81 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

Basic Infos

License type Free
Version 1.0.16
Size 6.81 MB (7146042)
Filename com.analyticsvidhya.android_65310_7146042.apk
Requirement 4.4 and up
Type app
Category Education
Package name: com.analyticsvidhya.android
Slogan: Best resources for data science, machine learning, deep learning & AI

App Permissions (inside APK file)


‣ android.permission.INTERNET
‣ android.permission.VIBRATE
‣ android.permission.RECEIVE_BOOT_COMPLETED
‣ android.permission.WAKE_LOCK
‣ com.google.android.finsky.permission.BIND_GET_INSTALL_REFERRER_SERVICE
‣ android.permission.WRITE_EXTERNAL_STORAGE
‣ android.permission.READ_PHONE_STATE
‣ android.permission.READ_EXTERNAL_STORAGE
‣ android.permission.ACCESS_NETWORK_STATE
‣ com.google.android.c2dm.permission.RECEIVE
‣ com.sec.android.provider.badge.permission.READ
‣ com.sec.android.provider.badge.permission.WRITE
‣ com.htc.launcher.permission.READ_SETTINGS
‣ com.htc.launcher.permission.UPDATE_SHORTCUT
‣ com.sonyericsson.home.permission.BROADCAST_BADGE
‣ com.sonymobile.home.permission.PROVIDER_INSERT_BADGE
‣ com.anddoes.launcher.permission.UPDATE_COUNT
‣ com.majeur.launcher.permission.UPDATE_BADGE
‣ com.huawei.android.launcher.permission.CHANGE_BADGE
‣ com.huawei.android.launcher.permission.READ_SETTINGS
‣ com.huawei.android.launcher.permission.WRITE_SETTINGS
‣ android.permission.READ_APP_BADGE
‣ com.oppo.launcher.permission.READ_SETTINGS
‣ com.oppo.launcher.permission.WRITE_SETTINGS
‣ me.everything.badger.permission.BADGE_COUNT_READ
‣ me.everything.badger.permission.BADGE_COUNT_WRITE


Features used


‣ android.hardware.touchscreen

Screenshots (5 images)

Analytics Vidhya - Machine Learning & Data Science screenshot 1 Analytics Vidhya - Machine Learning & Data Science screenshot 2 Analytics Vidhya - Machine Learning & Data Science screenshot 3 Analytics Vidhya - Machine Learning & Data Science screenshot 4 Analytics Vidhya - Machine Learning & Data Science screenshot 5

About Analytics Vidhya - Machine Learning & Data Science APK

Analytics Vidhya - Machine Learning & Data Science poster
Analytics Vidhya - Machine Learning & Data Science APK version 1.0.16 poster

Latest update


*Login bug is fixed*
*Other bug fixes and improvements*

Analytics Vidhya - Machine Learning & Data Science APK Description


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

• Everything you Should Know About Data Structures in Python

• 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/

How to install Analytics Vidhya - Machine Learning & Data Science APK for Android


Download Analytics Vidhya - Machine Learning & Data Science APK file (com.analyticsvidhya.android_65310_7146042.apk) from APKPure.live, then follow these steps:

Update Phone Settings

  • Go to your phone Settings page
  • Tap Security or Applications (varies with device)
  • Check the Unknown Sources box
  • Confirm with OK

Go to Downloads

  • Open Downloads on your device by going to My Files or Files
  • Tap the APK file you downloaded (com.analyticsvidhya.android_65310_7146042.apk)
  • Tap Install when prompted, the APK file you downloaded will be installed on your device.

How to install Analytics Vidhya - Machine Learning & Data Science APK on Windows PC 7/8/10/11 or MAC?


Download Analytics Vidhya - Machine Learning & Data Science APK file (com.analyticsvidhya.android_65310_7146042.apk) from APKPure.live to your PC (ex: C://Users/xxx/Downloads/(com.analyticsvidhya.android_65310_7146042.apk), then follow these steps appear on screen.

Using Emulator:

  • Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
  • Simple install APK on PC by drag and drop file com.analyticsvidhya.android_65310_7146042.apk on Emulator screen

Analytics Vidhya - Machine Learning & Data Science APK Pros & Cons


Pros
  • This app is safe, it's not require high risk permissions
  • Compatible with 32 bit device (most Emulator using 32bit arch CPU)
  • Compatible with 64-bit device (some android device and current Bluestacks)

Cons
Everything is good.


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