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This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Descriptive analytics on F.R.I.E.N.D.S TV series.
Comprehensive tutorial notes for ETC2410 Introductory Econometrics
Product Rationalization of Pro Bikes Inc using Power BI
Investigate a dataset of appoinment records for Brasil public hospitals
Machine Learning Key Projects
Analysis of Happiness scored according to economic production, social support, etc.
Power BI based Data\Business analysis of e-commerce company with focus on demographic analysis
This is a Descriptive Analytics Project which consists of various univariate, bivariate and multivariate data analysis on multiple data sets and their variables using R and its various statistical packages
Descriptive and Predictive Analytics of COVID-19 with respect to different Weather parameters
The H-1B is an employment-based, non-immigrant visa category for temporary foreign workers in the United States. For a foreign national to apply for H1-B visa, an US employer must offer a job and petition for H-1B visa with the US immigration department. This is the most common visa status applied for and held by international students once they…
A python based terminal interface to analyze the real-time performance of 3000+ company securities listed on NASDAQ. An extensive set of modules based on Pandas, NumPy, Matplotlib and Seaborn libraries. Also deployed the prediction of stock prices using Linear Regression.
This Project is all about studying and analyzing the Urbanization Rates and the percentage of Population living in Urban Areas for the Countries.
🐧🏠 This repository can be referred for basic data science analytics tasks such as descriptive analytics (data distributions & data preprocessing) and predictive modelling (classification or regression tasks).
Teaching notes, modules, tutorials etc for the course. For info see the link.
In order to create a good movie. We have chosen the score of 4.0 and above over 5.0. We will use the data to analyse what is needed to create a good movie.
Estimated probability models that help target consumers to build brand loyalty
Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics
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