Keywords: Top, Billionaires
People in the world are struggling every day to get fit into the billionaire’s list. The billionaire’s data to know the richest personality in the world. The data author got is contain 321 rows and 10 columns. The author found there are no duplicates present in the data but there are some null values present in the data. And that null values affected data set accuracy so the author used to drop those null values. The author took a data set of 69 billionaires’ personalities to predict their net worth of income. So, for that author used an artificial neural network.
Aim
To Predict the Top Billionaires in the world Using DL Techniques
Objective
Utilize an ANN model to predict the top billionaires globally, providing insights into wealth accumulation trends.
Develop an ANN system to analyze economic factors and wealth growth patterns for accurate billionaire ranking.
Evaluate the ANN's ability to forecast billionaire rankings, offering valuable perspectives on wealth distribution and growth.
ANN Technique used
Jupyter, Google Collab
— Preview truncated. The complete document (full chapters, references, diagrams, and appendices) is shared with clients as part of project delivery. —
Scan the QR code below and pay via any UPI app, then enter your transaction ID and upload a screenshot so we can confirm it.
UPI ID: yourupi@okhdfcbank