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Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.
eda xgboost hyperparameter-tuning gradient-boosting datapreprocessing stacking-classifier customer-profilingJupyter Notebook UpdatedJun 30, 2024 -
1. Digital Marketing Advertisement Data Segmentation using clustering techniques. 2. Identify Optimum Principal Components that explains the most variance in the Primary Census data.
Jupyter Notebook UpdatedJun 30, 2024 -
This project is based on the order management functionality of an online retail store in which you are provided with the “orders” database and you are asked some queries related to it. Answers to t…
UpdatedJun 30, 2024 -
Python for Data Science:Solution of a business problem to identify which region has maximum sales volume, which type of products are sold the most, how much revenue the E-Commerce Company makes, an…
Jupyter Notebook UpdatedJun 30, 2024