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.
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
Determining the apt price of a diamond based on its characteristics. This case study creates a ML model for diamond price prediction
Predict if a person will survive the titanic crash. A supervised ML classification model can do the job! A Case study in python.
How much salary does an employee deserve. Classify the salary based on the employee details.
Classifying a new loan application as a risk or safe for the bank.
This case study addresses a very common problem in the Banking industry. “To approve or reject this loan application?”