danieljjjjjj Goto Github PK
Type: User
Type: User
Advanced Machine Learning and Signal Processing IBM
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
big data finance
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
# Breast Cancer Classification Breast cancer is a common cancer in women, and one of the major causes of death among women around the world. Invasive ductal carcinoma (IDC) is the most widespread type of breast cancer with about 80% of all diagnosed cases. IDC is cancer that began growing in a milk duct and has invaded the fibrous or fatty tissue of the breast outside of the duct. Early accurate diagnosis plays an important role in choosing the right treatment plan and improving survival rate among the patients. In recent years, efforts have been made to predict and detect all types of cancers by employing artificial intelligence. An appropriate dataset is the first essential step to achieve such a goal. This paper introduces a histopathological microscopy image dataset of 922 images related to 124 patients with IDC. The dataset has been published and is accessible through the web at: http://databiox.com. The distinctive feature of this dataset as compared to similar ones is that it contains an equal number of specimens from each of three grades of IDC, which leads to approximately 50 specimens for each grade. ![](https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/Lobules_and_ducts_of_the_breast.jpg/504px-Lobules_and_ducts_of_the_breast.jpg) ## Introduction In Kenya, cancer is the third leading cause of death after infectious and cardiovascular diseases. From 2012 to 2018, the annual incidence of cancer increased from 37,000 to 47,887 new cases.7 During the same period, annual cancer mortality rose almost 16%, from 28,500 to 32,987 cancer-related deaths. The number of new cancer cases is expected to rise by more than 120% over the next 2 decades.
Building Predictive Models with Machine Learning and Python[Video], published by Packt
This project aims to build a classification model to predict which customers will churn
A Shiny app for exploratory analysis and unsupervised learning of longitudinal (clinical) data.
Repo for Coursera.com online course: Developing Data Products
This repository contains all the Data science specialization projects
Introduction to Python by Filip Schouwenaars
Introduction to SQL by Nick Carchedi
cv
Config files for my GitHub profile.
repository for IBM Data Science Professional Certificate @ Coursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
Developing data products
Plotting Assignment 1 for Exploratory Data Analysis
NLP
Solved assignments of coursera's Fundamentals of scalable data science course
Glovo Business API for Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.