Heart Disease Analysis

This project utilized Python libraries (Pandas, Matplotlib, Seaborn) to analyze a heart disease dataset, focusing on data cleaning, exploratory analysis, and visualizations. Key insights included correlations among features (age, cholesterol, blood pressure), gender and chest pain type distributions

Payroll, Gradebook , Decision factors using MS Excel

I have completed an Excel project on payroll, gradebook, and career decisions. I've used IF and OR formulas for automation, incorporated an importance factor for career decisions, and applied conditional formatting to enhance data analysis and presentation.

Financial time series using Garch model

The garchFit function in R is used for fitting Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to time series data. GARCH models are commonly used in financial econometrics to model and forecast the volatility of time series data, such as stock returns or exchange rates.

Average time spent on Social media

This project utilized Python libraries such as pandas, matplotlib, and ggplot to analyze daily social media usage in minutes from Monday to Friday.

Analyzing Weather data set using Pandas Dataframe

This project utilized Python libraries such as pandas and other functions to analyze a weather data set.

Sales Database, Car inventory using MS Excel

I used Excel features like Text to Columns, SUMIF, VLOOKUP, IF statements, and CONCATENATE for data cleaning and analysis. I organized data with sorting and filtering, summarized it with pivot tables, and visualized trends using pie charts and other chart types.

Diabetes prediction system- Machine Learning

The main objective of the diabetes prediction dataset is to create a machine learning prediction system to diagnostically detect whether a patient has diabetes based on the diagnostic measurements in the dataset.

Medical insurance cost prediction using linear regression | Machine Learning

This is a medical insurance cost prediction model that uses a linear regression algorithm to predict the medical insurance charges of a person based on the given data.

Covid-19 Data set using R

R programming language has been used to perform statistical analysis on the COVID-19 (coronavirus) dataset.

Big Data Exploration L1

An analysis of car data using Python and libraries like Pandas. The project involves utilizing functions such as shape, index, columns, dtypes, head, tail, unique, nunique, count, and value_counts to explore and understand the dataset.

Exploratory Data Analysis in Pandas

Conducting an Exploratory Data Analysis (EDA) on world population data using Jupyter Notebooks. The aim is to uncover insights into global population trends, demographics, and patterns.