Thursday, December 13, 2018
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Data Analytics

It's a broad category which involves brief description of Data Analytics,Business Analytics,Machine Learning,Data Science ,Machine Learning concepts and other analytics related terms

Some Important Data Visualizations Techniques

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...
Cross-validation in R

Avoid Over fitting & start crossvalidation

Introduction If you want to learn what is K-fold cross-validation and how is it done in R,then please follow along.Open your RStudio and have fun!! Course for Beginners: https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 What is Cross-validation A model is usually...
Boxplot

How do I learn Machine Learning

Introduction Like anything else ,its not too difficult to learn Machine Learning but yes you need to put time and efforts for practicing it.More you practice,the more you learn.You can have a...

What is Machine Learning ???

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...
Logistic Regression

Logistic Regression output interpretation in R

Introduction This is for you if you are looking for interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression in R. Let's begin...

What is Data Analytics???

Discovery, interpretation, and communication of meaningful patterns in data is part of data analytics.Analytics is compulsory for business for describing, predicting, and improving business performance. It involves many fields like Statistics, Mathematics,computer...

What is data mining

Data mining is an interdisciplinary subfield of artificial intelligence, machine learning, statistics and so on which involves discovering patterns in large data sets. The goal of the data mining process is...
Barplot

Plotting Categorical Variable vs continuous variables

Let's begin Data visualizations from basic to more advanced levels where we can learn about plotting categorical variable vs continuous variable or categorical vs categorical variables.Let's start RStudio and begin typing...

Applications of Exploratory Data Analysis

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...