cleanPyData is a Python package for data cleaning and preprocessing. It handles missing values, normalizes data, extracts features, and detects outliers, making your data ready for analysis or machine learning.

Here I conducted EDA on a diverse datasets, including movies, sales, and gaming data. Did data cleaning, visualization, and interpretation using libraries like pandas, NumPy, Matplotlib, and Seaborn to extract actionable insights for informed decision-making processes.

Always know what to expect from your data.

OpenRefine is a free, open source power tool for working with messy data and improving it

Vrinda Store

Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.

This project revolves around the analysis and prediction of customer churn using a dataset sourced from Kaggle. The dataset underwent thorough cleaning in Python to address missing values, invalid data types, and normalization tasks. The analysis was subsequently visualized using Power BI. Lastly, a Random Forest model was employed for prediction,

Collection of the assignments for Data Science Engineering Methods on National Stock Exchange Dataset and TMNIST dataset

Car Insurance Prediction Project

This is the process of automatically extracting data from websites. This can include text, images, and other media types from various web pages.

This project analyses the sales data of Vrinda Store to understand customer behavior and ultimately increase sales in the coming year.

SQL Data Cleaning and Exploratory Data Analysis (EDA) with MySQL

A Simple Real-Time Data Cleaning Using Power Query in Power BI

Here, I'll be sharing my learning journey in the field of artificial intelligence as a college student. This is where I'll document and showcase projects, code snippets, and materials from my AI course at university.

This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based YouTubers. Data Stack: Excel | Microsoft SQL Server | Power BI

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.

Analysed data of Fashion Store and prepared advanced dashboard using MS Excel.

This involves representing data graphically through charts, graphs, maps, and other visual elements. Interactive dashboards and reports that allows users to ask ad-hoc questions, test hypotheses, and gain deeper insights by engaging with the visual data directly.

Scripting in Python refers to writing small programs, often called scripts, that automate tasks, manipulate data, or perform routine operations.