Update Gadh
Best Deep Dive Zomato Data Analysis Project Using Python & Power BI
This is a project called “Zomato Data Analysis with Python and Power BI” made by UPDATEGADH. It’s all about using real Zomato data
🍽️ Zomato Data Analysis – Python Project
A data-driven exploration of Zomato’s restaurant dataset, focused on uncovering insights into cuisines, pricing trends, user ratings, and geographical distributions. A strong addition to any data science portfolio.
📊 Key Features
• Exploratory Data Analysis (EDA) with Pandas & Matplotlib
• City-wise restaurant insights & trends
• Cuisine popularity and rating comparisons
• Visualizations using Seaborn & Plotly
• Ideal for learning data wrangling and storytelling
🔗 Access the Full Project:
Zomato Data Analysis – Python
📢 Explore more data science projects and source code:
🔗 https://t.me/Projectwithsourcecodes
#ZomatoAnalysis #PythonProject #DataScience #EDA #RestaurantInsights #DataVisualization #FinalYearProject #projectwithsourcecodes #Seaborn #Pandas #DataAnalysisProject
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A data-driven exploration of Zomato’s restaurant dataset, focused on uncovering insights into cuisines, pricing trends, user ratings, and geographical distributions. A strong addition to any data science portfolio.
📊 Key Features
• Exploratory Data Analysis (EDA) with Pandas & Matplotlib
• City-wise restaurant insights & trends
• Cuisine popularity and rating comparisons
• Visualizations using Seaborn & Plotly
• Ideal for learning data wrangling and storytelling
🔗 Access the Full Project:
Zomato Data Analysis – Python
📢 Explore more data science projects and source code:
🔗 https://t.me/Projectwithsourcecodes
#ZomatoAnalysis #PythonProject #DataScience #EDA #RestaurantInsights #DataVisualization #FinalYearProject #projectwithsourcecodes #Seaborn #Pandas #DataAnalysisProject
zomato data analysis project report pdf
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🤝 Student Exam Performance Prediction – Data Science / ML
A machine learning project that predicts how students are likely to perform in their exams based on past data, study hours, demographics, etc.
Key Features
• Data preprocessing: handle missing values, normalization, encoding categorical variables
• Feature selection to identify major factors affecting performance
• Model training: regression/classification models like Random Forest, Decision Trees, or Logistic Regression
• Evaluation metrics: accuracy, precision, recall, F1-score, possibly confusion matrix
• Prediction interface: input student details → output expected performance
🔗 Explore the full project here:
Student Exam Performance Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#DataScience #MachineLearning #StudentPerformance #PredictiveAnalytics #MLProject #Python #Pandas #ScikitLearn #EducationData #ProjectShowcase
A machine learning project that predicts how students are likely to perform in their exams based on past data, study hours, demographics, etc.
Key Features
• Data preprocessing: handle missing values, normalization, encoding categorical variables
• Feature selection to identify major factors affecting performance
• Model training: regression/classification models like Random Forest, Decision Trees, or Logistic Regression
• Evaluation metrics: accuracy, precision, recall, F1-score, possibly confusion matrix
• Prediction interface: input student details → output expected performance
🔗 Explore the full project here:
Student Exam Performance Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#DataScience #MachineLearning #StudentPerformance #PredictiveAnalytics #MLProject #Python #Pandas #ScikitLearn #EducationData #ProjectShowcase