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Introducing our groundbreaking project: Suicide Tweet Prediction Analysis. 📊📝🧠 With an unwavering commitment to mental health and well-being, we have harnessed the power of advanced data analysis to create a platform that identifies and analyzes tweets with the potential for self-harm indicators. Our project combines cutting-edge machine learning algorithms with Read more…

Welcome to SalesSight: Unveiling E-commerce Trends! 🛍️📈 Our innovative Data Analysis project is at the forefront of providing a comprehensive and insightful analysis of the ever-evolving landscape of online retail. With a keen focus on data-driven decision-making, SalesSight empowers businesses with the knowledge to navigate the dynamic e-commerce world effectively. Read more…

In this notebook, we will analyze the Global YouTube Statistics 2023 and draw conclusions based on the dataset. Data preprocessing Youtuber subscribers video views category Title uploads Country Abbreviation channel_type video_views_rank … subscribers_for_last_30_days created_year created_month created_date Gross tertiary education enrollment (%) Population Unemployment rate Urban_population Latitude Longitude rank 781 Zee Read more…

1. Data Exploration and Understanding Dataset: https://www.kaggle.com/datasets/juhibhojani/zomato-cafe-reviews/code 1.1 Import Necessary Libraries We began by importing essential libraries such as pandas, numpy, matplotlib, and seaborn to handle data manipulation, analysis, and visualization. 1.2 Load the Dataset The dataset named ‘reviews.csv’ was loaded, which contains reviews and ratings of various cafes. 1.3 Read more…

Introduction: In an era of data-driven insights, the “World Happiness Report 2013-2023” dataset emerges as a fascinating window into the intricacies of global happiness. With a comprehensive repository of happiness scores, economic indicators, and social factors, this analysis uncovers trends, correlations, and nuanced insights that offer a deeper understanding of Read more…

Dataset: You can use publicly available datasets from Airbnb that contain information about property listings, prices, location, reviews, and more. Project Goals: Python Code: Remember to replace ‘airbnb_data.csv’ with the actual dataset file you have. You can expand this project by exploring other attributes like reviews, amenities, or performing clustering Read more…

Dataset: You can use datasets from sources like IMDb or The Movie Database (TMDb). For this project, you’ll need information such as movie titles, release dates, genres, ratings, box office earnings, and more. Project Goals: Python Code: Keep in mind that the ‘movie_dataset.csv’ file should contain your movie data with Read more…

Dataset: You can create a CSV file named sales_data.csv with the following columns: Project Goals: Python Code This is just a basic outline, and you can expand upon it by incorporating more complex analyses, visualizations, and even machine learning techniques depending on your skill level and interests. Addictions Learn more Read more…