advancing_healthcare_analysis_through_data_insights

Explore healthcare analytics with our PowerBI project, where we dissected vast datasets for insights. From patient demographics to treatment outcomes, we analyzed data for trends and actionable intelligence. Our project offers deep insights for healthcare professionals.

airbnb-bookings-analysis

Airbnb Bookings Analysis guests and hosts have used Airbnb to expand on traveling possibilities and present a more unique, personalized way of experiencing the world. Today, Airbnb became one of a kind service that is used and recognized by the whole world. Data analysis on millions of listings provided Airbnb is a crucial factor for the company.

bike-sales-data-analysis

Bike Sales Analysis using Excel In Europe bikes dataset , Extract the insight of sales in each country and each state of their countries. In this dataset 18 columns and main column is sales , in this columns Extract the value bale and meaningful insight from it Sales According to male and female or Products number of each product and its sales .

cardiovascular-risk-prediction

Supervised ML - Classification Using Python this project demonstrates the effectiveness of machine learning techniques in predicting cardiovascular risk using the Framingham Heart Study dataset. The developed machine learning model can be used by healthcare professionals to identify individuals at high risk of cardiovascular disease .

covid-19-cases-analysis

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread.

covid-19-vaccination-progress-analysis

Tracking COVID-19 vaccination rates is crucial to understand the scale of protection against the virus, and how this is distributed across the global population. A global, aggregated database on COVID-19 vaccination rates is essential to monitor progress.

credit-card-default-prediction

Supervised ML - Classification Using Python The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% .

data-scientist-salary-analysis

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data, and apply knowledge from data across a broad range of application domains. Data science is a very good career with tremendous opportunities for advancement .

e-commerce_analysis_using_tableau

Tableau ecommerce project focuses on analyzing and visualizing key aspects of ecommerce

eda-play-store-app-review-analysis

The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market. Each app (row) has values for category, rating, size, and more. Another dataset contains customer reviews of the android apps.

kidney-stone-prediction-

Supervised ML - Classification Using Python This dataset can be used to predict the presence of kidney stones based on urine analysis. The 79 urine specimens, were analyzed in an effort to determine if certain physical characteristics of the urine might be related to the formation of calcium oxalate crystals.

navjotkhatri

special readme file

netflix-movies-and-tv-shows-clustering

Unsupervised ML Netflix Movies and TV Shows Clustering is a powerful tool that enables the platform to group its vast library of content into similar categories, providing users with personalized recommendations and improving the overall user experience. This approach is data-driven and relies on unsupervised machine learning algorithms.

nkbraintech.github.io

nyc-taxi-trip-time-prediction

Supervised ML - Regression Using Python This dataset was extracted and uploaded for the purpose of experimenting with and learning regression models for time prediction. There is also a lot of room for data cleaning, outliers in the data, and plenty of data to work with for more realistic model training, testing, and validation.

oibsip

Oasis Infobyte Internship Projects one month of Internship as a data science intern at Oasis Infobyte. The Data Science Internship Offers Practical Work Experience And An Introduction To Creating Machine Learning Models And Improving Data Driven Technologies knowledge. This Internship Will Involve Challenging Opportunities, Real World Projects.

pooja.github.io

project website

top-youtube-page-analysis

Top Youtube Page Analysis using sql This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the US, GB, DE, CA, and FR regions (USA, Great Britain, Germany, Canada, and France, respectively), with up to 200 listed trending videos per day.

tourism_analysis

EDA using python,Tourism has massively increased in recent decades. Aviation has opened up travel from domestic to international. Before the COVID-19 pandemic, the number of international visits had more than doubled since 2000. Tourism can be important for both the travelers and the people in the countries they visit.

travel_-_hospitality_industry_analysis

Leveraged Excel's analytical capabilities for data processing and visualization.

worldbank-global-education-analysis

This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access. The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty