Sijan Paudel's Projects
The objective of this project is to create a predictive model that can accurately classify breast cancer cases as benign or malignant based on a set of relevant features. By leveraging historical data and applying machine learning techniques, we aim to develop a reliable tool for assisting medical professionals in diagnosing breast cancer.
Collection of projects of Codsoft internship
The goal of this project is to develop a robust email spam detection system using machine learning techniques. By analyzing the content and characteristics of emails, the system should be able to accurately classify incoming emails as either spam or legitimate (ham).
The goal of this project is to perform Exploratory Data Analysis (EDA) on the terrorism dataset to extract meaningful insights and patterns.
A beginner-friendly open source repository to create your first pull request.
My clone repository
Implementing a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms.
Creating a K-means clustering algorithm to group customers of a retail store based on their purchase history.
Implementing a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset.
Developing a hand gesture recognition model that can accurately identify and classify different hand gestures from image or video data, enabling intuitive human-computer interaction and gesture-based control systems.
The objective of this project is to develop a robust speech emotion recognition system capable of accurately classifying the emotional states conveyed in spoken language. By analyzing the acoustic features of speech signals, the system should be able to categorize emotions such as happiness, sadness, anger, fear, and more.