GRIP Internship Data Science and Business Analyst
Responsibilities:
- Write code to collect, crunch and analyze data from internal and external sources.
- Building Machine Learning Models using Python programming language.
- Using BI tool Tableau to analyze data and design visualization dashboards.
Task 1:
Prediction using Supervised ML.
Predict % of an student based on number of study hours.
Task 2:
Prediction using Unsupervised ML.
Predict optimum number of clusters in Iris dataset and represent it visually.
Task 3:
Prediction using Decision Tree Algorithm.
Create the Decision Tree Classifier and visualize it graphically.
Task 4:
Exploratory Data Analysis - Retail.
Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ using Tableau.
Link to Tableau Dashboard: https://lnkd.in/gDbGmzR3
Task 1 CV:
Object Detection/ Optical Character Recognition (ORC).
Implement an object detector which identifies the classes of the objects in an image or video.
Character detector which extracts printed or handwritten text from an image or video
Task 2 CV:
Color Identification in Images.
Implement an image color detector which identifies all the colors in an image or video