bank-marketing-effectiveness-prediction-supervised-learning

The main objective is to build a predictive model that predicts whether a new client will subscribe to a term deposit or not, based on data from previous marketing campaigns.

capstone-eda-project-airbnb-bookings-analysis

Exploratory data analysis of Airbnb bookings in New York City to gain insights into the travel industries and Uncovers trends, patterns, user preferences and behavior. Utilizes Python libraries for data exploration, data cleaning, manipulation, and visualization. Provides valuable insights for travelers, hosts, and the Airbnb business.

data-analysis-website-using-pandas-profiling-report

This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.

e-commerce-sales-analysis-excel-powerbi

Excel Analysis and Power BI Dashboard for E-Commerce Business showcasing key performance metrics and trends. E-commerce Forecasting Analysis using Excel pivot tables and charts to present insights and improve data-driven business decisions. Project Repository showcasing the analysis & visualization of different categories and sub-categories.

hr-analytics-dashboard-powerbi-powerquery

The HR-Analytics Attendance Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.

ipl-first-innings-score-prediction

This project uses machine learning techniques to predict the First Innings Scores of teams in IPL matches involving 8 teams. The aim is to accurately predict the outcome of these matches, providing insights for cricket enthusiasts alike.

myportfolio.com

saranggami

Config files for my GitHub profile.

sql_project_music_store_casestudy

The project digital music store case study using SQL. It includes analysis of various datasets such as Employee, Customer, Artist, Playlist, Playlist track, Album, Track, Invoice, media, genre etc with questions covering a range of difficulty levels from basic to advanced. A valuable resource for gaining deeper insights into SQL and data analysis.

ted-talks-views-prediction-supervised-learning

This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.

topic-modeling-on-news-articles-unsupervised-learning

In this project, task involves analyzing the content of the articles to extract key concepts and themes that are discussed across the articles to identify major themes/topics across a collection of BBC news articles.