Hello all, this is the 2nd part of our series, the series includes-

In the previous blog, we saw detailed analysis of the data. Now, it’s time to start some feature engineering and building models.

- Baseline Model
- Feature Engineering
- Modelling
- Deployment
- Future Work
- References

First, we will make prediction only based on medians of the data and we will use it as our baseline model.

Now, we will use median of data to make predictions, for each page we have taken median for each weekday and used it to make predictions for the next 62 days accordingly. …

Hello readers, from the title you must have gotten the idea of what this blog is all about. We will be creating an end to end case study. This is my first time writing a blog, hope you all like it. I have divided this blog into a series of two blogs.

- Problem Statement
- Real world objective/constraint
- Data source and overview
- Performance Metrics
- Existing Solution
- First cut Approach
- Exploratory Data Analysis
- References

Let’s get started!

This is a Kaggle competition problem which was held nearly 3 years ago. In this case study, we will be focusing on a time series problem. For those of you who are not familiar with time series, Time series is a set of observations recorded over regular interval of time, Time series can be beneficial in many fields like stock market prediction, weather forecasting. Time series can come handy in many problems like analysis, classification and most important forecasting, in this case study we will be focusing on analysis and forecasting. …