GitHub topics: statstical-analysis
Swanand33/LowCarbonTrade-EDA
Analyzes global trade data for low-carbon technologies (1994-2023) with a complete workflow: data cleaning, statistical analysis, and visualizations, presented in a professional and reusable format.
Language: Jupyter Notebook - Size: 573 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Vinayzende8/Online_Retails_sales_analysis
Analysis of online retail sales data to uncover insights and optimize business strategies.
Language: Python - Size: 3.91 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Rohit-Gawale/Google-Advanced-Data-Analytics-Professional-Certificate
About The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
Shubham235Chandra/HomeScope
HomeScope is an end-to-end data science project that predicts California's median house prices using a Random Forest Regressor. It offers detailed data preprocessing, a user-friendly Streamlit interface, and full deployment guidance, serving as a comprehensive tool for real estate market analysis.
Language: Jupyter Notebook - Size: 6.19 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Shubham235Chandra/SuccessSage
SuccessSage is an end-to-end ML project that predicts student exam performance using demographic and academic data, offering educators actionable insights to enhance educational outcomes through a comprehensive web interface.
Language: Jupyter Notebook - Size: 3.45 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Mahamad-Jameer-Makandar/Data-Visualization-on-Honey-Production-dataset-using-seaborn-and-matplotlib-libraries
Explore honey production dynamics (1998-2012) in the U.S. amid declining bee populations using Python's seaborn and matplotlib. Visualize key attributes like colonies, yield, production, price, and stocks to draw insights into the impact on American honey agriculture.
Language: Jupyter Notebook - Size: 850 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
