statisticalanalysis

Data Analysis and Visualization Of LifeExpectancy based on WHO data. Summarized the data for developed and developing countries. I used histograms and scatter plot to get clear visualization of factors like income, schooling, immunizations. Built a model using linear regression and performed residual diagnostics to check for correctness of the r…

Statistics, Data science diff. concept Visualization thro' programming and libraries.

This project involves analysing a dataset, estimate parameters in an empirical relationship and make inferences based on model diagnostics using R programming language.

A sentiment Analysis Project of mobile banking applications with focus on 10 UK Retail focused Banks using customer reviews on Google Play Store and Apple Store.

This project aims to predict Asthma rates in California using various environmental factors such as the presence of pesticides, toxic releases, pollution burden score, PM2.5, traffic, and ozone levels.

Leveraging machine learning techniques to predict the likelihood of heart failure in patients based on a comprehensive dataset of patient information sourced from Kaggle.

An analytics project using Python, SQL, and visualization to explore IBM HR data on employee attrition, performance, and income. Includes data cleaning, EDA, statistical testing, and predictive modeling (Logistic Regression, Decision Tree) to identify key factors affecting retention and productivity.

This project analyzes student performance data using Python. It explores how gender, parental education, lunch type, and test preparation affect math, reading, and writing scores. Includes data cleaning, EDA, and visualizations using pandas, matplotlib, and seaborn.

A statistical analysis script in R to perform a One-Way ANOVA Test, which evaluates whether there are statistically significant differences between the means of three or more groups. Ideal for analyzing experimental data and comparing group means in research studies.

Здесь представлены некоторые проекты для решения разных задач бизнеса с помощью разных методов ML и DL

Excel Practice Sets for Data Analysts — a structured, hands-on collection covering 18 essential Excel topics, from fundamentals to advanced dashboards. Each topic includes dedicated practice files, exercises, and solutions designed around real-world e-commerce and business scenarios.