Time Series Forecasting: A Case Study in Python for Superstore Dataset
The Time Series is one of the old gems of Machine Learning. This is a univariate technique that becomes applicable when you have only one column of data available.
The Time Series is one of the old gems of Machine Learning. This is a univariate technique that becomes applicable when you have only one column of data available.
The goal of the case study is to learn from the historical data of advertisement clicks using machine learning and create a model to Predict who is going to click on the Advertisement on a website in future based on the user behaviour and user profile.
How to sample data for testing when there is a dependency on time.
How to validate ML models based on K-fold cross validation.
How to test a machine learning model using bootstrapping in Python
House price prediction using machine learning in python. Based on the famous Boston housing data.
Predicting the strength of a concrete mixture using machine learning in python
Predicting the apt price of a computer based on its specs using machine learning in python
What will be the demand of rental bikes every hour? Predicting the number of bikes required using machine learning in python.
How much you should pay for a second hand car? Predict the apt price of a old car using machine learning in python.