PROJECTS
Dream House Finance Model - K Means Clustering
A marketing firm wants to launch a promotional campaign in different regions of the country. So, in order to do that, they need to understand which areas they should focus their resources in order to cover the entire region. We are provided with the population data based on different locations along with the demographics. The objective is to segregate the regions into different groups so that the marketing team can plan their resources accordingly. So we have to apply classification techniques in order to segregate the regions into different clusters which will help the marketing team.
Client Term Deposit Prediction using ML models - Decision Tree (Machine Learning)
A term deposit is a cash investment held at a financial institution. Our money is invested for an agreed rate of interest over a fixed amount of time, or term. The bank has various outreach plans to sell term deposits to their customers such as email marketing, advertisements, telephonic marketing and digital marketing. Telephonic marketing campaigns still remain one of the most effective way to reach out to people. However, they require huge investment as large call centers are hired to actually execute these campaigns. Hence, it is crucial to identify the customers most likely to convert beforehand so that they can be specifically targeted via call.
Credit Card Default Prediction - Random Forest Model ( Machine Learning)
This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labelled dataset.. The Classification used for this Project is RandomForestClassifier.
Road Lane Detection using Computer Vision - Python
Lane Line detection is a critical component for self driving cars and also for computer vision in general. This concept is used to describe the path for self-driving cars and to avoid the risk of getting in another lane.
We build a machine learning project to detect lane lines in real-time. We will do this using the concepts of computer vision using OpenCV library. To detect the lane we have to detect the white markings on both sides on the lane.
Water Level Sensor-Ardruino
If you’ve ever had a water heater explode or attempted to build submersible electronics, you know how important it is to detect the presence of water.
That is exactly what this Water Level Sensor allows you to do! It can measure the water level, monitor a sump pit, detect rainfall, and detect leaks.
Churn Prediction - Logistic Regression
The dataset contains the information like personal information of the customer, transaction information, and bank information belonging to a bank. It is often necessary to predict when the customers are going to withdraw their money from the bank account and stay dormant. Being able to predict this, the bank can take necessary action to prevent customers from withdrawing huge sums and stay an active/loyal customer. Our task is to be able to predict the customers who are going to churn based on the information given.
