presentation of miniproject of ppt presentation

project presentation

1. WEL - COME

2. GOVERNMENT ENGINEERING COLLEGE HUVINHADAGALI- 583219 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING PRESENTATION ON INTERNSHIP UNDER THE GUIDENCE OF Mr. GOPAL (Asst Professor), Dept of Computer science and Engineering HuvinHadagali Presented by TEJASHWINI KUDARI 2GB18CS018 Dept,of Computer Science and Engineering

3. introduction Impacts of diabetes are accounted to have deadly and declining sway on ladies as compared to men on account of the lesser survival rate and lacking way of living. World Health Organization study expresses nearly about 1/3rd ladies who experience the ill effects of diabetes have got no information related to it. The impact of diabetes is one of a kind if there should be an occurrence of moms in light of the fact that the ailment is transferred to their yet to be born kids. Attacks, unnatural birth cycles, visual impairment, kidney disappointment, and removals are only a portion of the complexities that emerge through this ailment. A human is viewed as experiencing diabetes when glucose levels are more than typically 4.4 - 6.1 millimole per liter. Pancreas existing in a person’s body secrete a hormone which is dependable to enable glucose to achieve every cell within the system. A person suffering from diabetes basically has lesser secretion of insulin or their system can’t utilize the insulin efficiently. The 3 primary kinds of diabetes are type 1, type 2 and gestational diabetes. Bearing in mind the significance of initial medicinal conclusion of the illness, information mining systems are connected to support the ladies in the identification of diabetes at a beginning period as well as to conduct that might aid for maintaining a strategic distance from difficulties.

4. About diabetes Diabetes Mellitus : Diabetes is a condition in which the body can’t use the sugars and carbohydates it takes in as food to make an energies Diabetes is due to either the pancreas not producing enough insulin, or the cells of the body not responding properly to the insulin produced There are main three types of diabetes mellitus : Type I: Type 1 diabetes results from failure of the pancreas to produce enough insulin due to loss of beta cells.  This form was previously referred to as "insulin-dependent diabetes mellitus" (IDDM) or "juvenile diabetes".  The loss of beta cells is caused by an autoimmune response.  The cause of this autoimmune response is unknown Type 2 : Type 2 diabetes begins with insulin resistance, a condition in which cells fail to respond to insulin properly.  This form was previously referred to as "non insulin-dependent diabetes mellitus" (NIDDM) or "adult-onset diabetes". The most common cause is a combination of excessive body weight and insufficient exercise. Type 3 : Gestational diabetes is the third main form, and occurs when pregnant women without a previous history of diabetes develop high blood sugar levels

5. prevention Lose extra weight. Losing weight reduces the risk of diabetes. Be more physically active. There are many benefits to regular physical activity. Eat healthy plant foods. Plants provide vitamins, minerals and carbohydrates in your diet. Eat healthy fats. Skip fad diets and make healthier choices.

6. requirements Hardware reqirements : Processor – core i3 7 th gen Ram – 4GB HDD(storage)– 1TB Operating system – windows 10 Software requirements : Python version (3.9.7)

7. Software reqirements seaborn ==0.9.0 matplotlib ==3.0.2 pandas==0.23.4 scikit_learn ==0.21.3 Algorithms used : Naive Bayes

8. Naive Bayes algorithm Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems. It is a probabilistic classifier, which means it predicts on the basis of the probability of an object. Some popular examples of Naïve Bayes Algorithm are spam filtration, Sentimental analysis, and classifying articles.

9. Bar graph / count plot

10. histogram

11. Pair plot

12. Heat map

13. Scaling map

14. Prediction output

15. Prediction output

16. conclusion Our study reveals the effectiveness of algorithm used. No doubt not one but many algorithms have proved to be equivalent in giving out the almost equivalent accuracies for our problem statement and the field of research. We see that the Naïve Bayes classifier approach did not prove to be much effective as they give is the outcomes of merely 71.4% (approx.). We saw that for a large number of the calculations, setting the correct parameters is significant for good execution. If we plot the feature importance of each of the used algorithms we will observe that the importance of each feature differs. For some algorithm, glucose is the most important feature while for the other, it does not hold that level of importance.

17. THANK YOU