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Analytics Vidhya - Machine Learning Tutorials for PC

Published by  Analytics Vidhya
  • Category
    Education
  • Developer
    Analytics Vidhya
  • Downloads
    10000+
  • Android Version
    4.4 and up
  • Content Rating
    Teen
Analytics Vidhya - Machine Learning Tutorials PC screenshot 1Analytics Vidhya - Machine Learning Tutorials PC screenshot 2Analytics Vidhya - Machine Learning Tutorials PC screenshot 3

Analytics Vidhya is India's largest and the world's 2nd largest data science community.
We aim to help you learn concepts of 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 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


• Nuts & Bolts of Reinforcement Learning: Model Based Planning using Dynamic Programming

• 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)


• A Complete Tutorial on Time Series Modeling in R


• 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 180,000 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 Tutorials for Windows PC or MAC:

Analytics Vidhya - Machine Learning Tutorials is an Android Education app developed by Analytics Vidhya and published on the Google play store. It has gained around 10000 installs so far, with an average rating of 4.0 out of 5 in the play store.

Analytics Vidhya - Machine Learning Tutorials requires Android with an OS version of 4.4 and up. In addition, the app has a content rating of Teen, from which you can decide if it is suitable to install for family, kids, or adult users. Analytics Vidhya - Machine Learning Tutorials is an Android app and cannot be installed on Windows PC or MAC directly.

Android Emulator is a software application that enables you to run Android apps and games on a PC by emulating Android OS. There are many free Android emulators available on the internet. However, emulators consume many system resources to emulate an OS and run apps on it. So it is advised that you check the minimum and required system requirements of an Android emulator before you download and install it on your PC.

Below you will find how to install and run Analytics Vidhya - Machine Learning Tutorials on PC:

  • Firstly, download and install an Android emulator to your PC
  • Download Analytics Vidhya - Machine Learning Tutorials APK to your PC
  • Open Analytics Vidhya - Machine Learning Tutorials APK using the emulator or drag and drop the APK file into the emulator to install the app.
  • If you do not want to download the APK file, you can install Analytics Vidhya - Machine Learning Tutorials PC by connecting your Google account with the emulator and downloading the app from the play store directly.

If you follow the above steps correctly, you should have the Analytics Vidhya - Machine Learning Tutorials ready to run on your Windows PC or MAC. In addition, you can check the minimum system requirements of the emulator on the official website before installing it. This way, you can avoid any system-related technical issues.

Download Analytics Vidhya - Machine Learning Tutorials For PC

Analytics Vidhya APK 1.0.106.36 MB1.0.10