adeyisegun Goto Github PK

big-data-analytics-of-crimes-in-uk

The project aims to provide a detailed analysis as well as answer some questions about crimes in the UK. The dataset comprises of approximately 40 million records of crime data from 2010 to 2018. Apache Spark through python (Pyspack) was majorly used.

building-a-powerbi-report-for-waggle

car-mpg-prediction

Prediction of car MPG (Miles per gallon) considering displacement and Horse power

course-collaboration-travel-plans

udacity

coursera-getting-and-cleaning-data-course-project

Coursera Getting and Cleaning Data Course Week 4 Project

coursera_getting_and_cleaning_data_week4_project

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-analysis-practice_college

research experiment with the purpose of better understanding how people analyze data

data-friday

Just some repo

datasciencecoursera

datasharing

The Leek group guide to data sharing

dss-jhu

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fbi_gun_data

heart-disease-predictiction

The aim of the project is to hasten heart disease diagnosis by about 30% to save doctors and medical practitioners time. Various classifier models were built with health dataset (about 70,000 records). The models were evaluated with accuracy and Mathews Correlation Coefficient (MCC). Prior to model building, the given dataset was analysed and some

hello-world

Testing and Idea

investigate_a_relational_database

investigating-exponential-distribution-in-r

machine-learning-course-project

market-basket-analysis-on-instacart

While shopping on popular ecommerce websites like #Amazon, you must have stumbled upon features like 'frequently Bought together' suggesting that you may like a similar product to the one you are viewing. This feature is achieved by using an #unsupervisedmachinelearning approach called Market Basket Analysis. Under the hood, it uses apriori algorithm. I have done a project exploring this approach. The project's objectives are: 1. Create a detailed Exploratory analysis of the dataset created by #Instacart. 2. Find out the associations among products in the dataset and offer advise on how your findings can be applied.

pdsnd_github

GitHub project (Project 3) repository for PDSND

power-bi-report-for-seven-sages-brewing-company

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-tonia

project_bikeshare

regression_model

Regression Model Analysis

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

test-repo

Testing VC

we_rate_dog