Data Science Training Course

Analyse factors affecting price of a house in Boston. Predict house price using techniques like Linear and Polynomial Regression. Evaluate model with various evaluation metrics.

Segment mall customers using KMeans clustering technique. Derive action plans and stratergies for different types of customers.

Identify customers with high chance of claiming an insurance. Use Classification model to classify weather a customer will claim for insurance or not.

Analyse factors causing customer loss in a Telecom company. Train a classification model to predict future loss of customers.

Develop a bot that counts number of people passing by a premises. Use Computer Vision and advance object detection techniques like YOLO & RCNN.

Identify the person on a photo, video or live stream using Face-Detection techniques. Use Computer Vision and Mediapipe.

Build a business centric customer care chatbot using RASA NLU. The chatbot resolves customer queries regarding a product or a service.

Analyze factors affecting price of a car. Predict car price using advance regression techniques. Evaluate model with various evaluation metrics.

Visualize COVID-19 Trend using Matplotlib and Seaborn. Extract insights from data.

Analyse patterns of fraud transactions made from a credit card. Train a classification model that classifies a transaction as genuine or fraud.

Use Augmented reality to put different props like sunglasses, mask, hair bands etc on a human face. Use Computer Vision techniques and Mediapipe.