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complete-deep-learning

credit-risk-analytics-with-deployment

customers-k-means-clustering-

We have some basic data about customers like Customer ID, age, gender, annual income and spending score. Spending Score is assigned to the customer based on some parameters like customer behavior and purchasing data. We will try to cluster this data according to these features.

employee-wellness-prediction

A drastic thing happened and XYZ Technical Solutions have lost one of their important employees. The company is now very concerned about the health of their employees and would want you to find that set of employees who are in need or may be in need of treatment, taking into account multiple attributes that are already stored in the database.

footwear-classification-cnn

Data is all about images of shoes with multiple categories and data is collected from a popular Ecommerce site. Data set consists of two folders train and test.

hotel-reservation

You are supporting a hotel with a project aimed to increase revenue from their room bookings. They believe that they can use data science to help them reduce the number of cancellations. This is where you come in!

ipl-analysis-dashboard-power-bi-

The dashboard utilizes data from multiple sources and presents it in the form of charts, graphs, and tables to help you gain insights into the tournament's performance.

laptops-price-prediciton

We have to predict the prices of the laptops based on the specifications, weather it is having high, medium or low specs.

red-wine-quality-classification

The two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. For more details, consult the reference [Cortez et al., 2009]. Due to privacy and logistic issues, only physicochemical (inputs) and sensory (the output) variables are available.

traffic-recognition-using-cv-deeplearning

We have to reccognize the traffic sign which will be provided by user or by test data.