Basic_Projects

1. Classification Model to Identify Multiple Disease

https://github.com/Deepak1321/Basic_Projects/blob/main/Classification_Model_to_Identify_Multiple_Disease_Project.ipynb

Tools and Library used

1. Pandas
2. RandomForestClassifier
3. KNeighborsClassifier
4. DecisionTreeClassifier

2. Regression Model to Predict Cement Compressive Strength

https://github.com/Deepak1321/Basic_Projects/blob/main/Regression_Model_to_Predict_Cement_Compressive_Strength_Project.ipynb

Tools and Library Used

1. Pandas
2. seaborn
3. RandomForestClassifier

3. Classification Model to Identify Employee Attrition

https://github.com/Deepak1321/Basic_Projects/blob/main/Classification_Model_to_Identify_Employee_Attrition_Project.ipynb

Description of variables

1. AGE : Numerical Value
2. ATTRITION : Employee leaving the company (0=no, 1=yes)
3. BUSINESS TRAVEL : (1=No Travel, 2=Travel Frequently, 3=Tavel Rarely)
4. DAILY RATE : Numerical Value - Salary Level
5. DEPARTMENT : (1=HR, 2=R&D, 3=Sales)
6. DISTANCE FROM HOME : Numerical Value - THE DISTANCE FROM WORK TO HOME
7. EDUCATION Numerical Value
8. EDUCATION FIELD (1=HR, 2=LIFE SCIENCES, 3=MARKETING, 4=MEDICAL SCIENCES, 5=OTHERS, 6= TEHCNICAL)
9. EMPLOYEE COUNT Numerical Value
10. EMPLOYEE NUMBER Numerical Value - EMPLOYEE ID
11. ENVIROMENT SATISFACTION Numerical Value - SATISFACTION WITH THE ENVIROMENT
12. GENDER (1=FEMALE, 2=MALE)
13. HOURLY RATE Numerical Value - HOURLY SALARY
14. JOB INVOLVEMENT Numerical Value - JOB INVOLVEMENT
15. JOB LEVEL Numerical Value - LEVEL OF JOB
16. JOB ROLE (1=HC REP, 2=HR, 3=LAB TECHNICIAN, 4=MANAGER, 5= MANAGING DIRECTOR, 6= REASEARCH DIRECTOR, 7= RESEARCH SCIENTIST, 8=SALES EXECUTIEVE, 9= SALES REPRESENTATIVE)
17. JOB SATISFACTION Numerical Value - SATISFACTION WITH THE JOB
18. MARITAL STATUS (1=DIVORCED, 2=MARRIED, 3=SINGLE)
19. MONTHLY INCOME Numerical Value - MONTHLY SALARY
20. MONTHY RATE Numerical Value - MONTHY RATE
21. NUMCOMPANIES WORKED Numerical Value - NO. OF COMPANIES WORKED AT
22. OVER 18 (1=YES, 2=NO)
23. OVERTIME (1=NO, 2=YES)
24. PERCENT SALARY HIKE Numerical Value - PERCENTAGE INCREASE IN SALARY
25. PERFORMANCE RATING Numerical Value - PERFORMANCE RATING
26. RELATIONS SATISFACTION Numerical Value - RELATIONS SATISFACTION
27. STANDARD HOURS Numerical Value - STANDARD HOURS
28. STOCK OPTIONS LEVEL Numerical Value - STOCK OPTIONS
29. TOTAL WORKING YEARS Numerical Value - TOTAL YEARS WORKED
30. TRAINING TIMES LAST YEAR Numerical Value - HOURS SPENT TRAINING
31. WORK LIFE BALANCE Numerical Value - TIME SPENT BEWTWEEN WORK AND OUTSIDE
32. YEARS AT COMPANY Numerical Value - TOTAL NUMBER OF YEARS AT THE COMPNAY
33. YEARS IN CURRENT ROLE Numerical Value -YEARS IN 34. CURRENT ROLE
34. YEARS SINCE LAST PROMOTION Numerical Value - LAST PROMOTION
35. YEARS WITH CURRENT MANAGER Numerical Value - YEARS SPENT WITH CURRENT MANAGER

Tools and Library Used

1. Pandas
2. LinearRegression