Proyecto generado con los apuntes del certificado de análisis de datos de Google en Coursera

Data analysis and visualization of the 2021 Olympics Medals and Formula 1 race data using R. Explore insights through comprehensive visualizations on medal distribution and driver performance.

Applying some of the advanced analytics concepts using R Programming

My hockey data visualizations.

DIGIHLTH706 Assignment 4

A repo containing the code for my article "Is Bigfoot a Republican?"

Simulating 1,000,000 match-ups between Notre Dame and Louisville

Infant sleep tracking, visualizations, and analytics

As data scientist for the multinational technology company Apple Inc, I developed a sentiment analytics engine for Twitter, which is used to predict consumers’ review sentiments. The aim is to develop both dictionary based and machine learning-based sentiment analytics scripts using a number of R libraries and SAS Sentiment Analysis Studio. I us…

A used car online selling company in the USA is in the process of updating their car price assessment method where they want to apply a data driven technique. The trial dataset consists of 25 variables describing 23531 car sales from 2019 to 2020. The management is very keen to apply predictive modelling for this task where the trail data set is…

This Git repo analyzes video game sales data using R, exploring top publishers, developers, and industry trends with dplyr and ggplot2. It offers insights into sales figures across regions and platforms, as well as genre-wise user and critic scores.

Machine learning models build on real time data

This repository consists of projects that i made while studying machine learning with the language R. Most of this projects are based and adapted from the course "The analytics edge" from the MIT.

CIS Analytics 编程辅导, Code Help, WeChat: powcoder, CS tutor, powcoder@163.com

Doenet Analyzer

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data. I am a Beginner in this Field so kindly Forgive if there are any Silly Mistakes. Suggestions through Mail for Improving the Analysis are always Welcome. 😀🏹 🥇💯

Analysis of suicides in India from year 2001 to 2012.

R Projects

Worked on building a predictive model by considering multicollinearity and other Machine learning concepts related to  factors or variables using R programming. 

Identifying socio-economic factors that contributed to Covid_19 deaths. A Dataset was created through an SQL JOIN of data gathered from NOMIS website and the data on number of Covid_19 deaths as published by the NHS in UK.