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Created by Selva Prabhakaran
English
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Predict whether a system will get infected by malware or not.
Work on real Microsoft data, solve data challenges, gather insights, build and evaluate Machine Learning models just like on-the-job experience.
Build a classification engine which predicts whether a transaction is fraud or not.
Work on multiple features and real data set, and explore alternate approaches to modeling and evaluation
Forecast number of restaurant visitors, using multiple strategies.
Gain knowledge of basic to advanced statistical tools, time series concepts, and ML modeling techniques.
Learn the theory, concepts and Machine Learning methods on estimating Customer Lifetime Value (CLTV) for businesses.
Explore formula based, ML and probabilistic approaches and implement them using Python. Know about the mistakes to avoid and industry best practices.
Learn how to implement the core Market Mix Modeling (MMM) project for optimizing marketing mudget allocation using Python
Learn how to use Python to predict ratings given Amazon product text reviews.
Build a computer vision based model which can detect the defects in steel sheets. Understand how is computer vision helping in optimising the object detection process in the industry.
Build a text generation deep learning model to predict the next word in sentence using language models with LSTM.
Build a deep learning based NLP model (BERT) which can classify sentiments of reviews on an e commerce platform.
Professionals in the field of data science
Professionals looking for a robust, structured Python learning program
Software or data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers
These real data science projects across multiple domains will help you add new data science skills to your profile :
Launch your Graphy