Publications by Amar Gondaliya
Linear Regression using R
RegressionThrough this post I am going to explain How Linear Regression works? Let us start with what is regression and how it works? Regression is widely used for prediction and forecasting in field of machine learning. Focus of regression is on the relationship between dependent and one or more independent variables. The “dependent variable�...
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Predict Bounce Rate based on Page Load Time in Google Analytics
Welcome to the second part. In the last blog post on Linear Regression with R, we have discussed about what is regression? and how it is used ? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict bounce rate as function of page load time components. In next blog, I’d share ho...
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Logistic Regression with R
Logistic RegressionIn my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R?Let’s first understand logistic regression. Logistic regression is one of the type of regres...
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Predict User’s Return Visit within a day part-1
In my earlier blog, I have discussed about what is logistic regression? And how logistic model is generated in R? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict whether a user will return on website in next 24 hours. This problem is based on the user characteristics as wel...
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Predict User’s Return Visit within a day part-2
Welcome to the second part of the series on predicting user’s revisit to the website. In my earlier blog Logistic Regression with R, I discussed what is logistic regression. In the first part of the series, we applied logistic regression to available data set. The problem statement there was whether a user will return in the next 24 hours or no...
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Predict User’s Return Visit within a day part-3
Welcome to the last part of the series on predicting user’s revisit to the website. In the first part of series, I generated the logistic regression model for prediction problem whether a user will come back on website in next 24 hours. In the second part, I discussed about model improvement and seen the model accuracy.In this post, I will...
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Predictive analysis on Web Analytics tool data
In our previous webinar, we discussed on predictive analytics and basic things to perform predictive analysis. We also discussed on an eCommerce problem and how it can be solved using predictive analysis. In this post, I will explain R script that I used to perform predictive analysis during webinar.Before I explain about R script, let me recall ...
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Linear Regression with R : step by step implementation part-1
Welcome to the first part of my series blog post. In this post, I will discuss about how to implement linear regression step by step in R by understanding the concept of regression. I will try to explain the concept of linear regression in very short manner and try to convert mathematical formulas in to codes(hope you may like this!!). I real...
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Linear Regression with R : step by step implementation part-2
Welcome to the second part! In previous part, we understood Linear regression, cost function and gradient descent. In this part we will implement whole process in R step by step using example data set. I will use the data set provided in the machine learning class assignment. We will implement linear regression with one variable to predict profit...
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Logistic Regression with R: step by step implementation part-1
Very warm welcome to first part of my series blog posts. In previous blog post, we discussed about concept of the linear regression and its mathematical model representation. We also tried to implement linear regression in R step by step. In this post I will discuss about the logistic regression and how to implement the logistic regression in...
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