suicide rate prediction in three decades

Keywords: suicide, rate

Background

This is the prediction of the suicide rate from 101 countries all over the world. Where the dataset contains 27802 rows and 12 columns. While doing the prediction author got to know there is an equal proportion of suicide while talking about the ages. There were so many outliers present in each column and the null values too but the author got more than 50 percent of null values so the author deleted those columns and handles the outliers perfectly. These are the challenges faced by an author while doing a prediction. To predict the suicide rates in three decades from 101 countries all over the world. And to handle and predict this situation author used an artificial neural network.

Aim & Objectives

Aim
To Predict the suicide rate Using DL Techniques
Objective
Develop an ANN model to predict suicide rates over three decades, aiding proactive mental health strategies.
Utilize historical data and ANN to forecast future suicide rates, informing targeted prevention and intervention efforts.
Evaluate the ANN's predictive performance, considering societal changes, for reliable long-term suicide rate projections.

Research Methodology

ANN Technique used

Software & Tools

Jupyter, Google Collab

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