Stress Detection using Machine Learning Project
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Stress Detection using Machine Learning Project

Stress Detection using Machine Learning Project

Develop this machine learning project with help of experts and add value to your profile!

Technologies/tools used in this Stress Detection Project:

1. Machine learning algorithm,

2. Importing & processing a dataset,

3. Evaluation and visualization of the model

4. Anaconda, Jupyter, pandas, sklearn and numpy

5. BernoulliNB Classifier, RegEx


Introduction to Stress Detection Project:

1. Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification for having an unpleasant life. Individuals frequently discuss their thoughts via web-based entertainment stages like Instagram as posts and stories, and on Reddit through requesting ideas about their life on subreddits.

2. In a couple of years, many substance makers have approached to make content to assist individuals with their psychological wellness. Numerous associations can utilize pressure discovery to find which virtual entertainment clients are focused on to rapidly help them.

3. Stress discovery is a difficult undertaking, as there are so many words that can be utilized by individuals on their posts that can show regardless of whether an individual is having mental pressure.

4. The dataset we are utilizing for this project contains information presented on subreddits related to emotional wellness. This dataset contains different emotional well-being issues shared by individuals about their life.

5. People often share their feelings on social media platforms. Many organizations can use stress detection to find which social media users are stressed to help them quickly.


Process followed for the Stress Detection Project:

1. SDLC

2. Literature Survey

3. Prerequisites and ML Concepts

4. Installation of Anaconda, Jupyter

5. Dataset Analysis

6. Algorithm Implementation

7. ML Model Building

8. Test the performance

9. GitHub Deployment

10. Life Cycle of Data Science Project


Prerequisites for Stress Detection Project:

1. We will take it from scratch but if you are aware of the below-mentioned terminologies then that will be added advantage.

 2. Basic Knowledge of the Programming Language Python.

3. Basics of Statistics, Probability, Linear Algebra, and Calculus.


Who should this Stress Detection Project?

1. If you have a keen interest in ML Domain

2. Any branch/domain student

3. One who wants to upskill their profile. 

Technologies/tools used in this Stress Detection Project:

1. Machine learning algorithm,

2. Importing & processing a dataset,

3. Evaluation and visualization of the model

4. Anaconda, Jupyter, pandas, sklearn and numpy

5. BernoulliNB Classifier, RegEx


Introduction to Stress Detection Project:

1. Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification for having an unpleasant life. Individuals frequently discuss their thoughts via web-based entertainment stages like Instagram as posts and stories, and on Reddit through requesting ideas about their life on subreddits.

2. In a couple of years, many substance makers have approached to make content to assist individuals with their psychological wellness. Numerous associations can utilize pressure discovery to find which virtual entertainment clients are focused on to rapidly help them.

3. Stress discovery is a difficult undertaking, as there are so many words that can be utilized by individuals on their posts that can show regardless of whether an individual is having mental pressure.

4. The dataset we are utilizing for this project contains information presented on subreddits related to emotional wellness. This dataset contains different emotional well-being issues shared by individuals about their life.

5. People often share their feelings on social media platforms. Many organizations can use stress detection to find which social media users are stressed to help them quickly.


Process followed for the Stress Detection Project:

1. SDLC

2. Literature Survey

3. Prerequisites and ML Concepts

4. Installation of Anaconda, Jupyter

5. Dataset Analysis

6. Algorithm Implementation

7. ML Model Building

8. Test the performance

9. GitHub Deployment

10. Life Cycle of Data Science Project


Prerequisites for Stress Detection Project:

1. We will take it from scratch but if you are aware of the below-mentioned terminologies then that will be added advantage.

 2. Basic Knowledge of the Programming Language Python.

3. Basics of Statistics, Probability, Linear Algebra, and Calculus.


Who should this Stress Detection Project?

1. If you have a keen interest in ML Domain

2. Any branch/domain student

3. One who wants to upskill their profile. 



What you will receive in Stress Detection Project?

1. Project Tutorials

2. Online Course

3. Material Certificate

4. One to One Expert Assistance.


What you will build after Stress Detection Project?

1. Working on Stress Detection Machine Learning Project

2. Project Development Skills

3. Portfolio


Why you should build this Stress Detection Project?

1. Machine learning gives the computer the ability to learn from past data and make predictions about the future.

2. It is the hottest area right now with great career prospects.

3. In this project, you will put ML into action by building a project that detects stress by taking data from third-party social networks.

4. This project will be your best start to learning and understanding this amazing new field!

5. This project will be your best start to learning and understanding this amazing new field!


Mentor for this Stress Detection Project

 

FAQs

FAQs

Machine learning methods opened the new way to easily detect, diagnose, predict, and calculate the risk of any diseases.

This system can be embedded in security systems to improve the overall security of access control as it provides 95.5% (approx. dependent upon dataset) accuracy in stress detection.

The main goal of the system is to detect the mental stress through available data using BernoullisNB Classifier. Different pre-processing techniques can be used for stress detection.

 

The conclusion of this project is that the machine learning algorithms that have been used, can categorize data points with stress behavioral correlations, which is usable in measure stress(binary format).

 

Login to our website dashboard portal will be provided instantly upon enrollment.The portal will have video lectures, tutorials, and reference material required to build the Stress Detection using ML project. Use the tutorials along with the portal to complete the project at your home itself.

Anybody who has prior knowledge on Python and want to develop machine learning skills can take up this project-based course.

Our expert trainers are available to clear your doubts. It is very simple. You will just have to select a time slot that is suitable for you and our trainer will call you at that time and help you. The doubt clarification sessions are always 1-1. So you can ask as many doubts as you want any number of times!

Please feel free to contact us in case of any queries. Email: contact@talentbattle.in. We prefer email contact as that can be replied by the right expert who can answer your question!

The fee you pay includes:

1.Course content

2. Charges for technical support

A team can have maximum of 4 members.

All team members will get separate logins and certificate.

Course Fees will be varying in this case.

Stress Detection using Machine Learning Project
Key Features -

Build a project from scratch!

Get a certificate

Guidance by experts

₹999

Are you looking for a single course to prepare for major TOP MNC companies, then join Complete Placement Preparation Masterclass!