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Dec 28 2016
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Applications of Exploratory Data Analysis

By Arpan Gupta (Indian Institute of Technology,Roorkee)

Let’s begin learning about “What are the Applications of Exploratory Data Analysis in Machine Learning or Predictive Modelling” Exploratory Data Analysis (EDA) helps in finding hidden information by displaying data in generally two or three…

Dec 28 2016
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What is Machine Learning ???

By Arpan Gupta (Indian Institute of Technology,Roorkee)

For Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 Machine learning and Artificial Intelligence is future of our world. Machine learning enables us to crunch…

Dec 28 2016
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What is Statistical Analysis?

By Arpan Gupta (Indian Institute of Technology,Roorkee)

Statistical Analysis is a kind of data analytics which involves collecting, exploring and presenting large amounts of data to discover underlying patterns and trends. Statistics is used in almost every field to get the estimates…

Dec 28 2016
0

What are Classification Algorithms?

By Arpan Gupta (Indian Institute of Technology,Roorkee)

Wants to know about Classification Models for Machine Learning and Data Analytics? Classification is the problem of identifying the category out of many catergoies given to which a new observation belongs on the basis of…

Dec 28 2016
0

Some Important Data Visualizations Techniques

By Arpan Gupta (Indian Institute of Technology,Roorkee)

List of Important data visualization Techniques used by Data Analyst,Data Scientist,Business Analyst,Statistical Analyst and so on Data visualization involves visual representation of data to communicate information hidden in the data by encoding it as visual…

Dec 28 2016
0

Random Forest for Machine Learning in R

By Arpan Gupta (Indian Institute of Technology,Roorkee)

Random forests are supervised machine learning method for classification and regression. Random forest is way of averaging multiple decision trees which are trained on different parts of the same training set. In Decision tree we…

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