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Analytics Vidhya - Machine Lea

Analytics Vidhya - Machine Lea 電腦版

4.4Version: 1.0.16

Analytics Vidhya

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用GameLoop模拟器在電腦上玩Analytics Vidhya - Machine Lea

Analytics Vidhya - Machine Lea 電腦版

來自發行商 Analytics Vidhya 的 Analytics Vidhya - Machine Lea 能夠在安卓系統上運行。

現在,您可以在電腦上使用 GameLoop 模擬器流暢地玩 Analytics Vidhya - Machine Lea。

在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。

只需在電腦大屏幕上免費下載暢玩Analytics Vidhya - Machine Lea 電腦版!

Analytics Vidhya - Machine Lea 簡介

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/

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教育

訊息

  • 開發商

    Analytics Vidhya

  • 最新版本

    1.0.16

  • 更新時間

    2021-09-12

  • 類別

    教育

  • 同時可用

    Google Play

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如何在電腦上用 GameLoop 玩 Analytics Vidhya - Machine Lea

1. 從官網下載GameLoop,然後運行exe文件安裝GameLoop

2. 打開GameLoop,搜索“Analytics Vidhya - Machine Lea”,在搜索結果中找到Analytics Vidhya - Machine Lea,點擊“安裝”

3. 享受在 GameLoop 上玩 Analytics Vidhya - Machine Lea 的樂趣

Analytics Vidhya - Machine Lea

Education
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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

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