文件列表:

01_Python_for_Data_Science/ (0, 2023-12-07)
01_Python_for_Data_Science/NumPy.ipynb (71348, 2023-12-07)
01_Python_for_Data_Science/Pandas.ipynb (684847, 2023-12-07)
01_Python_for_Data_Science/Python_for_Data_Science.ipynb (96972, 2023-12-07)
01_Python_for_Data_Science/StockData.csv (112852, 2023-12-07)
01_Python_for_Data_Science/StockData.xlsx (110790, 2023-12-07)
02_Python_Visualization/ (0, 2023-12-07)
02_Python_Visualization/Automobile (1).csv (24729, 2023-12-07)
02_Python_Visualization/Line_plot.png (81721, 2023-12-07)
02_Python_Visualization/PythonVisualization.ipynb (3729214, 2023-12-07)
02_Python_Visualization/boxplot.png (36802, 2023-12-07)
02_Python_Visualization/skew_box.png (35176, 2023-12-07)
03_Python_EDA/ (0, 2023-12-07)
03_Python_EDA/ExploratoryDataAnalysis.ipynb (1920140, 2023-12-07)
03_Python_EDA/Melbourne_Housing.csv (2467085, 2023-12-07)
03_Python_EDA/Melbourne_Housing_NoMissing.csv (2558104, 2023-12-07)
03_Python_EDA/Melbourne_Housing_NoOutliers.csv (2612254, 2023-12-07)
03_Python_EDA/boxplot.png (36802, 2023-12-07)
Application_Case_Cred_Pay/ (0, 2023-12-07)
Application_Case_Cred_Pay/Cred_Pay.ipynb (112669, 2023-12-07)
Application_Case_Google_Play_Store/ (0, 2023-12-07)
Application_Case_Google_Play_Store/GooglePlayStore.ipynb (1311550, 2023-12-07)
Application_Case_Google_Play_Store/Play_Store_2.csv (356504, 2023-12-07)
Application_Case_Honey_Production/ (0, 2023-12-07)
Application_Case_Honey_Production/Honey_Production.ipynb (3691016, 2023-12-07)
Application_Case_Honey_Production/honeyproduction1998-2016.csv (40620, 2023-12-07)
Application_Case_MovieLens/ (0, 2023-12-07)
Application_Case_MovieLens/MovieLens.ipynb (912851, 2023-12-07)
Application_Case_MovieLens/movie.csv (117040, 2023-12-07)
Application_Case_MovieLens/ratings.csv (2079208, 2023-12-07)
Application_Case_MovieLens/user.csv (23611, 2023-12-07)
Application_Case_Tips/ (0, 2023-12-07)
Application_Case_Tips/Tips.ipynb (1087487, 2023-12-07)
Application_Case_Tips/tips.csv (8885, 2023-12-07)
Application_Case_Uber/ (0, 2023-12-07)
Application_Case_Uber/Uber.ipynb (3504506, 2023-12-07)
Application_Case_Uber/Uber_Data.csv (1835550, 2023-12-07)
LICENSE (1076, 2023-12-07)
Project_FoodHub/ (0, 2023-12-07)
Project_FoodHub/FoodHub_FullCode.ipynb (1273893, 2023-12-07)
... ...

# Advanced Python Programming Portfolio 2023 Ebrahim Abtahizadeh. All Rights Reserved. Welcome to my GitHub repository showcasing my advanced Python programming skills, particularly in the areas of Data Science, Visualization, and Exploratory Data Analysis. Here, you'll find various projects covering diverse application cases, demonstrating my proficiency in handling real-world scenarios. ## Projects ### 1. Cred Pay Analysis - Description: Analyzing transaction data for Cred Pay to derive insights into user spending habits and payment trends. - Technologies: Python, Pandas, Matplotlib, Seaborn. ### 2. Google Play Store Data Analysis - Description: Exploring and visualizing data from the Google Play Store to understand app trends, ratings, and user preferences. - Technologies: Python, Pandas, Matplotlib, Seaborn. ### 3. Honey Production Forecasting - Description: Building a predictive model for honey production using time series analysis and machine learning. - Technologies: Python, Pandas, Scikit-Learn, Time Series Analysis. ### 4. Movielens Recommendation System - Description: Developing a recommendation system for movies based on user preferences using collaborative filtering. - Technologies: Python, Pandas, Scikit-Learn, Recommendation Systems. ### 5. Tips Analysis - Description: Analyzing restaurant tips data to uncover patterns and factors influencing tip amounts. - Technologies: Python, Pandas, Matplotlib, Seaborn. ### 6. Uber Ride Analysis - Description: Exploring and visualizing Uber ride data to understand ride patterns, peak hours, and geographical trends. - Technologies: Python, Pandas, Matplotlib, Geospatial Analysis. ### 7. Foodhub Customer Behavior - Description: Analyzing customer behavior on Foodhub to improve user experience and optimize service delivery. - Technologies: Python, Pandas, Matplotlib, Data Analysis. ## Getting Started To run any of the projects, follow these steps: 1. Clone the repository: ```bash git clone https://github.com/e-abtahi/advanced-python-portfolio.git 2. Navigate to the project directory: ```bash cd advanced-python-portfolio/project-name 3. Run the project: ```bash python main.py

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