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8-week-sql-challenge

book-recommender-system

The "Book Recommender System" project aims to provide personalized book recommendations using advanced algorithms and user data. It enhances the reading experience by suggesting books that match users' preferences and interests.

eda-of-play-store-data

This project is an EDA endeavor that delves into the world of Google Play Store data. This project uncovers valuable trends, patterns, and statistics within the Play Store ecosystem. From app categories and user reviews to pricing and app sizes, the project offers a comprehensive analysis of this dynamic and ever-expanding marketplace.

excel-vrinda-store-analysis

Discover insights with Excel Dashboard - Vrinda Store Analysis. This repository demonstrates effective data visualization through charts, including order vs sales, top 5 stats, age vs gender analysis, and more, using basic data cleaning and pivot tables.

fifa-18-player-rating-dashboard-power-bi

This is a data visualization project using Power BI to present FIFA 18 player ratings. The dashboard includes a world map, club ratings, and age-wise player ratings, with filters for nationality, player name, and club for a dynamic experience.

google-merchandise-store-analysis

This is a data analysis project using Looker Studio. It offers insights into the Google Merchandise Store's performance with pages for market analysis, cohort analysis, and funnel analytics. The project visualizes key metrics to inform strategic decisions.

google-playstore-dashboard-tableau

"Google PlayStore Dashboard - Tableau" is an interactive data visualization project that provides insights into the top apps, popular genres, sentiment analysis, and trends in Google PlayStore data. Users can filter results by category, genre, and app type for a personalized experience.

kpmg_virtual_internship

The "KPMG Virtual Internship" offers a hands-on virtual experience in the field of professional services. Participants work on real projects, gaining practical skills in areas like data analysis, business strategy, and client engagement.

machine-learning-practice

The "Machine Learning Practice" repository is a collection of hands-on projects, code samples, and resources designed to enhance understanding and practical skills in machine learning, catering to learners and enthusiasts.

mobile_price_range_classification

This project is dedicated to developing a classification system that categorizes mobile devices into different price ranges. By employing ML techniques and mobile specifications, this project helps consumers make informed decisions when purchasing mobile phones, ensuring they find the right device that fits their budget and requirements.

natural-language-processing-nlp

python_practice

"Python Practice" is designed to help individuals improve their Python programming skills. It offers a range of coding examples that enable participants to enhance their Python knowledge and problem-solving capabilities.

seaborn-and-matplotlib

Explore data visualization with Seaborn and Matplotlib. This repository showcases examples of bar charts, line plots, scatter plots, heatmaps, histograms, and box plots for effective representation of inbuilt dataset insights.

sql-practice

"SQL Practice" is a project that offers opportunities to enhance SQL skills. It provides a material for SQL enthusiasts to work on a variety of SQL queries and challenges, helping them become more proficient in database querying and management.

ted-talks-views-prediction

The "TED Talk Views Prediction" repository offers a platform for building and implementing machine learning models to forecast the number of views for TED talks. It includes datasets, code, and tutorials to develop predictive analytics.

yes-bank-s-stock-closing-price-prediction-by-regression

This project focuses on forecasting the closing prices of Yes Bank's stock. Through data analysis and predictive modeling, this project provides valuable insights for investors and traders, aiding them in making informed decisions about their investments in Yes Bank's stock.

zomato-restaurant-clustering-and-sentiment-analysis

This project clusters Zomato restaurants and analyzes customer sentiments. It offers insights for restaurant owners and food enthusiasts, enhancing decision-making and experiences.