Unicorn Investors wants to make an investment in a new form of transportation - JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! The investment would only make sense, if they can get more than 1 million monthly users with in next 18 months. In order to help Unicorn Ventures in their decision, we need to forecast the traffic on JetRail for the next 7 months. We are provided with traffic data of JetRail since inception in the test file.
Banks and credit card companies calculate your credit score to determine your creditworthiness. It helps banks and credit card companies immediately to issue loans to customers with good creditworthiness.
There are three credit scores that banks and credit card companies use to label their customers:
- Good
- Standard
- Poor
A person with a good credit score will get loans from any bank and financial institution. For the task of Credit Score Classification, we need a labelled dataset with credit scores.
Forecasting the number of daily female birth based on the path data!
How much does a diamond cost?
We will predict sales for the thousands of product families sold at Favorita stores located in Ecuador.
Data Cleaning Exercise, Different ways of cleaning a dataset!
Estimating a linear regression model with annual income in USD (earn) as the response variable. Investigating whether the relationship between income earn and level of education education differs depending on gender male or not.
Will the loan application be approved?
The task is to examine the relationship between a number of predictors and whether a family chooses to switch to a well with lower arsenic content (switch = "yes") or not (switch = "no").
To analyze and optimize web traffic and user engagement!
Build a dynamic pricing model that incorporates the number of rides, number of drivers, location category, customer loyalty status and other features of the following dataset to predict optimal fares for rides in real time.
Dynamic Pricing Strategies (Ensemble Learning Model vs. Time Series Model) (dynamic_pricing_strategy2) 💲💱🏷️
Research Problem: Traditional models often struggle with complex data patterns and large datasets. The problem is to determine whether advanced ensemble learning techniques can outperform traditional time-series models in predicting optimal prices.