machine learning ppt by akshaya with project

this includes a project of ml

1. MACHINE LEARNING -By K . Akshaya (Y22CD072)

2. Introduction to Machine Learning Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn. It is used to make predictions on new similar type data, without being explicitly programmed for each task. Traditional Machine Learning combines data with statistical tools to predict an output that can be used to make actionable insights.

3. Applications of Machine Learning 1) Speech analysis: e.g., speech recognition, synthesis. 2) Computer vision: e.g., object recognition/detection. 3) Robotics: e.g., position/map estimation. 4) Bio-informatics: e.g., sequence alignment, genetic analysis. 5) E-commerce: e.g., automatic trading, fraud detection. 6) Financial analysis: e.g., portfolio allocation, credits. 7) Medicine: e.g., diagnosis, therapy conception. 8) Web: e.g., Content management, social networks, etc.

4. Types of Machine Learning There are three types of machine learning 1.Supervised Learning 2.Unsupervised Learning 3.Reinforcement Learning

5. Problem Statement : Covid Prediction using supervised learning Identifying a covid effected person having different symptoms is a complex task. So , this project explains us and shows some insights about the symptoms of the covid persons, which helps us to identify whether a person is having covid/not by using machine learning algorithms. Using those as inputs we can develop an intelligent model which can help us to predict whether a person is affected with covid or not.

6. Data Visualization The data set should be equally distributed or in normal scenario in could be at most 60:40 ratio. In other cases the data gets biased .Here the data set is biased . So , transform it.

7. Feature Transformation

8. Algorithm Description

9. Results : Logistic Regression

10. 2.Random Forest Classifier

11. 3 . Decision Tree