Work on a movies dataset using SQL to extract exciting insights.
Humans are visual learners and hence no task related to data is complete without visualisation. Learn to plot and interpret various graphs in Python and observe how they make data analysis and drawing insights easier.
An assignment to study, visualize and solve Uber supply-demand gap problem
Solve a industry based problem through the concepts learnt in exploratory data analysis
Learn to build a model to understand the factors on which the demand for bike sharing systems vary on and help a company optimize its revenue
Help the sales team of your company identify which leads are worth pursuing through this classification case study
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them. Learn Dimensionality Reduction and Classification techniques to mitigate customer churn problems.
Understand how a project in the industry is taken up and solved through a comprehensive business case study.
Build a machine learning model to identify fraudulent credit card transactions
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