Analytics Vidhya - Machine Lea PC
Analytics Vidhya
Download Analytics Vidhya - Machine Lea on PC With GameLoop Emulator
Analytics Vidhya - Machine Lea on PC
Analytics Vidhya - Machine Lea, coming from the developer Analytics Vidhya, is running on Android systerm in the past.
Now, You can play Analytics Vidhya - Machine Lea on PC with GameLoop smoothly.
Download it in the GameLoop library or search results. No more eyeing the battery or frustrating calls at the wrong time any more.
Just enjoy Analytics Vidhya - Machine Lea PC on the large screen for free!
Analytics Vidhya - Machine Lea Introduction
Analytics Vidhya app provides high quality learning resources for data scientists, data engineers and students who want to study data science and machine learning algorithms, along with codes. Get Personalized learning articles and courses based on your preferences
Free Courses on the app
1. Introduction to Business Analytics
2. Introduction to Python
3. Introduction to NLP
4. Introduction to AI and ML
5. Pandas for data analysis
6. Getting started with decision trees
7. Convolutional Neural Networks
8. Support Vector Machines
9. Fundamentals of Regression Analysis
10. Linear Programming for data science professionals
11. Introduction to Pytorch for deep learning
12. Naivebayes from scratch
13. Ensemble Learning Techniques
14. KNN in Python and R
15. Dimensionality Reduction in Machine Learning
16. Getting started with scikit-learn
17. Hypothesis testing for data science and analytics
Get your hands dirty with Free Project courses on the app
1. Twitter Sentiment Analysis
2. Bigmart Sales Prediction using R
3. Loan Prediction Practice Problem
Learn from popular articles on the app
1. Essentials of Machine Learning Algorithms
2. A complete tutorial to learn data science using Python
3. Types of Regression
4. Naivebayes Algorithm
5. Understanding SVM
6. Complete tutorial on tree based modelling
7. Complete tutorial in time series modelling in R
8. Introduction to KNN
9. A comprehensive guide to data exploration
Also get new articles everyday on the app and in notifications to be updated with the data science practice and industry
Analytics Vidhya is India's largest and the world's 2nd largest data science community.
Our aim is to help you learn concepts of data science, machine learning, deep learning, big data, NLP, Computer Vision & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels.
We have more than a million registered users and more than 5 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. We have a platform for courses (https://courses.analyticsvidhya.com/) where you can enroll in programs like AI and ML Blackbelt (self paced program) and Bootcamp (Fresheres program with Job Guarantee in data science) created by industry leaders in data science and artificial intelligence where you can enroll in courses and sharpen your skillset.
We take privacy of our users very seriously, to know more about
Privacy: https://www.analyticsvidhya.com/privacy-policy/
Terms: https://www.analyticsvidhya.com/terms/
Tags
EducationInformation
Developer
Analytics Vidhya
Latest Version
1.0.16
Last Updated
2021-09-12
Category
Education
Available on
Google Play
Show More
How to play Analytics Vidhya - Machine Lea with GameLoop on PC
1. Download GameLoop from the official website, then run the exe file to install GameLoop
2. Open GameLoop and search for “Analytics Vidhya - Machine Lea” , find Analytics Vidhya - Machine Lea in the search results and click “Install”
3. Enjoy playing Analytics Vidhya - Machine Lea on GameLoop
Minimum requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-8300
Memory
8GB RAM
Storage
1GB available space
Recommended requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-9320
Memory
16GB RAM
Storage
1GB available space