welcome viewers if still you're not subscribed to this channel kindly subscribe and also click the bell icon to get technology updates regularly on this jpeg footage channel hi in this video we are going to see about a python project which is entitled as finding psychological instability using machine learning so from the title of the project we could have analyzed that in this project we are going to find the psychological instability problem using the machine learning and you can see the details mentioned in the base paper the data set details mentioned in the base paper or these and before uploading i'll show you the data set also here this is the data set that we are going to use which has the features of id stand timestamp agenda country state self-employed so you can see the these are features available and those details are mentioned over here in the base paper the dataset details so we are going to use only few features and let us see the execution of the project now so this is the home screen of the project which has the project title finding psychological instability using machine learning and click login which i can enter the static username password that is administrator and click login and then you can see the abstract the project which is mentioned in the base paper and click next and here we are going to upload the dataset that i have shown here earlier and after selecting the dataset click upload now you can see the preview of the data set which has the features timestamp page gender country state so all the features that we have shown you yearly on the data set and you can scroll down till the end of the page so the complete data set has been uploaded and click click to train test so once the training is finished we can see the message training is finished and click ok now here you can see the the prediction output of it here we have taken only few features so you can see those features age gender family history self-employed benefits care options anonymity leave work interface and with these features we are going to predict it and i will show you the test case for the both the cases normal and the psychological instability model so first we will go with the normal we will show you the age 31 gender male family history yes self-employed no benefits don't know care option no and anomaly don't know and leave very easy the work interface is never interfere is never and click predictor so now you can see the predicted result is the prediction is normal person so this is the first case i have shown you for the normal person now let us see the no abnormal that is mental disorder person so age 43 and gender male family history no benefits no care option don't know leave very difficulty and work interference is rarely and now you can click predict you can see the result of this is prediction is mental disorder so i have shown you the two example cases you can also check with other cases the test cases are from the data set now we'll go to the finals part that is analysis part which has the static graph with the comparison of mental disorder of the normal person with the compared with the six that is male number of person is 300 female is 500 and transgender is 700. and in future you can see the conclusion and feature work of the paper that is mentioned in the base paper and this is all about the project finding psychological instability using machine learning thank you