breast-cancer-prediction

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.

codsoft-task

Collection of projects of Codsoft internship

dance

email-spam-detection

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).

exploratory-data-analysis-terrorism

The goal of this project is to perform Exploratory Data Analysis (EDA) on the terrorism dataset to extract meaningful insights and patterns.

hacktoberfest-nepal

A beginner-friendly open source repository to create your first pull request.

hacktoberfest-nepal-2020

mlsa-task

mlsa-task1

My clone repository

nepali-nirvana

prodigy_ml_01

Implementing a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms.

prodigy_ml_02

Creating a K-means clustering algorithm to group customers of a retail store based on their purchase history.

prodigy_ml_03

Implementing a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset.

prodigy_ml_04

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.

sandesh-sharma.github.io

sijanpaudel14

speech-emotion-recognition

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.

todo

traveltonepal