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[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects
magnet:?xt=urn:btih:69ddcb2cd58dbd0cec877fe10358bbd02c2b9d28&dn=[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects
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Hash值:
69ddcb2cd58dbd0cec877fe10358bbd02c2b9d28
点击数:
159
文件大小:
4.09 GB
文件数量:
176
创建日期:
2023-3-11 14:02
最后访问:
2024-6-27 13:02
访问标签:
GigaCourse
Com
Udemy
-
Python
Data
Science
with
Pandas
Master
12
Advanced
Projects
文件列表详情
1 - Getting Started/1 - Course Overview don´t skip.mp4 29.14 MB
1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip.mp4 35.68 MB
1 - Getting Started/4 - How to download and install Anaconda for Python coding.mp4 45.63 MB
1 - Getting Started/5 - Jupyter Notebooks let´s get started.mp4 44.06 MB
1 - Getting Started/6 - How to work with Jupyter Notebooks.mp4 41.13 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview.mp4 2.86 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents.mp4 28.02 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 31.31 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package.mp4 23.81 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices.mp4 24.69 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview.mp4 1.94 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data.mp4 11.89 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns.mp4 21.05 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy.mp4 26.68 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy.mp4 14.98 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting.mp4 28.56 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA.mp4 13.29 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies.mp4 26.29 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 16.3 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview.mp4 8.97 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data.mp4 24.06 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data.mp4 64.29 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations.mp4 60.57 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction.mp4 30.73 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks.mp4 23.35 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio.mp4 42.87 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio.mp4 35.3 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1.mp4 32.75 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2.mp4 34.43 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview.mp4 4.25 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders.mp4 68.09 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection.mp4 13.87 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating.mp4 24.4 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1.mp4 29.98 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2.mp4 16.29 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times.mp4 25.24 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter.mp4 33.14 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 50.88 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking.mp4 26.61 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter.mp4 23.22 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter.mp4 15.01 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter.mp4 31.44 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview.mp4 11.09 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025.mp4 18.96 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output.mp4 7.52 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 15.56 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes.mp4 19.11 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values.mp4 22.15 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype.mp4 15.49 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype.mp4 24.36 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype.mp4 12.79 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter.mp4 13.38 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations.mp4 40.29 MB
15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas.mp4 10.45 MB
15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv.mp4 55.52 MB
15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail.mp4 21.89 MB
15 - Appendix Pandas Crash Course/165 - First Data Inspection.mp4 43.21 MB
15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas.mp4 26.42 MB
15 - Appendix Pandas Crash Course/167 - Selecting Columns.mp4 20.59 MB
15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation.mp4 4.31 MB
15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing.mp4 6.02 MB
15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing.mp4 60.99 MB
15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing.mp4 19.12 MB
15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing.mp4 11.26 MB
15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing.mp4 55.67 MB
15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series.mp4 14.35 MB
15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 57.18 MB
15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 18.88 MB
15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter.mp4 17.01 MB
15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition.mp4 23.54 MB
15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND.mp4 9.92 MB
15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR.mp4 12.93 MB
15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns.mp4 16.01 MB
15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap.mp4 33.13 MB
15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib.mp4 51.35 MB
15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction.mp4 3.98 MB
15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object.mp4 22.15 MB
15 - Appendix Pandas Crash Course/188 - Splitting with many Keys.mp4 31.75 MB
15 - Appendix Pandas Crash Course/189 - splitapplycombine explained.mp4 31.61 MB
15 - Appendix Pandas Crash Course/190 - splitapplycombine applied.mp4 46.6 MB
15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1.mp4 19.87 MB
15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2.mp4 37.7 MB
15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3.mp4 15.58 MB
15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4.mp4 37.26 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection.mp4 63.07 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1.mp4 30.86 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2.mp4 21.93 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next.mp4 41.04 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4 57.66 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful.mp4 19.1 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises.mp4 27.4 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors.mp4 21.73 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1.mp4 43.28 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2.mp4 24.38 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview.mp4 14.8 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1.mp4 9.84 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders.mp4 14.22 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview.mp4 6.04 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON.mp4 5.86 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders.mp4 12.28 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files.mp4 56.53 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats.mp4 36.25 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API.mp4 42.88 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1.mp4 32.07 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY.mp4 6.81 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2.mp4 25.54 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice.mp4 35.62 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 11.92 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview.mp4 2.88 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders.mp4 26.26 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps.mp4 12.68 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns.mp4 9.06 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1.mp4 31.01 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2.mp4 14.74 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns.mp4 41.2 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1.mp4 26.29 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2.mp4 24.5 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information.mp4 11.63 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns.mp4 24.91 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates.mp4 17.11 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows.mp4 27.45 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps.mp4 19.78 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview.mp4 2.01 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders.mp4 10.8 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets.mp4 17.77 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge.mp4 6.69 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join.mp4 13.97 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column.mp4 33.73 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column.mp4 26.43 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps.mp4 3.4 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview.mp4 2.41 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL.mp4 10.6 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders.mp4 22.11 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database.mp4 10.2 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database.mp4 48.22 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames.mp4 16.46 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries.mp4 28.81 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries.mp4 33.16 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries.mp4 22.84 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study.mp4 30.29 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview.mp4 1.94 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1.mp4 11.09 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web.mp4 7.76 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case.mp4 17.75 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case.mp4 27.43 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps.mp4 4.45 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2.mp4 13.77 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case.mp4 5.26 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module.mp4 9.45 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case.mp4 7.89 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features.mp4 6.27 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview.mp4 2.28 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders.mp4 42.46 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018.mp4 12.2 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018.mp4 8 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation.mp4 16.14 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times.mp4 11.53 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018.mp4 15.11 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank.mp4 17.44 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time.mp4 42.43 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1.mp4 20.65 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2.mp4 27.88 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names.mp4 28.02 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names.mp4 26.59 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn.mp4 41.06 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1.mp4 15.53 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2.mp4 10.96 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set.mp4 16.75 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest.mp4 23.31 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set.mp4 12.54 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance.mp4 5.92 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview.mp4 3.28 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders.mp4 33.32 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection.mp4 29.39 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features.mp4 24.36 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices.mp4 72.42 MB
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