Coursera Peer-graded Assignment
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Updated
Feb 19, 2018 - HTML
Coursera Peer-graded Assignment
Implementation of various domains of datascience and algorithms
Workshop for the Cambridge University Data Science Society: Explorative data analysis and visualization in R based on tidyverse
API for text quality analysis, personal information extraction, data cleaning, toxic comments classification, toxic comments remover, gibberish data identification and much more.
Big data analysis: YouTube Trending Page & How to Create a Viral Video
blogs on probability and statistics
Yiming's special corner 🧑🏻💻
The aim of this project is to understand the results of an A/B test run by an e-commerce website.
Complete Human Resources Analytics and Predective Machine
Trabajo Práctico de la materia Laboratorio de Datos sobre un Modelo de Regresión para predecir viajes diarios en EcoBici y un Clasificador de noticias reales y falsas de un dataset
This repository is for a project that I made in class for data science in health at ZHAW. Using logistic regression, I made a prediction model to see patients that will be at risk for heart disease.
Website para o projeto de extensão "R para Ciência de Dados"
Exploration and Regression Model for car features vs price
This book is a collection of some good open source Machine learning resources out there. The book does not belong to me, it belongs to the entire community, I have just taken it upon me to collect the fantastic resources in a book format as a comprehensive source for someone starting out.
Data science project written in R language. F1 dataset exploration.
Welcome to my simple digital portfolio. This website briefly showcases the breadth and depth level of knowledge and experience in the DS field. The projects consist of academic research and industry standard style projects related to DS field. Please check it out and your feedback is welcome. Thanks.
The primary goal of the project is to go through the dataset and the general data analysis process using numpy,pandas and matplotlib libraries.
Add a description, image, and links to the datascience topic page so that developers can more easily learn about it.
To associate your repository with the datascience topic, visit your repo's landing page and select "manage topics."