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Data Statistics with Full Stack Python

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种子名称: Data Statistics with Full Stack Python
文件类型: 视频
文件数目: 104个文件
文件大小: 2.84 GB
收录时间: 2023-9-5 01:41
已经下载: 3
资源热度: 181
最近下载: 2025-2-16 07:07

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Data Statistics with Full Stack Python.torrent
  • 1 - Python Fundamentals/Code Password.mp4966.76KB
  • 8 - Exploratory Data Analysis/Introduction.mp42.16MB
  • 9 - Simple Linear Regression/Residual Square Error (RSE).mp42.61MB
  • 1 - Python Fundamentals/Python Introduction.mp44.32MB
  • 5 - Inferential Statistics/Commulative Distribution.mp44.84MB
  • 1 - Python Fundamentals/Logical Operations.mp45.07MB
  • 3 - Pandas/Operations Part1.mp45.87MB
  • 9 - Simple Linear Regression/Introduction to Machine Learning.mp45.97MB
  • 5 - Inferential Statistics/Inferential Statistics.mp45.98MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part3.mp46.01MB
  • 1 - Python Fundamentals/List Part1.mp46.05MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part4.mp46.11MB
  • 6 - Hypothesis Testing/t- distribution Part1.mp46.16MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part5.mp47.06MB
  • 6 - Hypothesis Testing/Critical Value Method.mp47.31MB
  • 5 - Inferential Statistics/Central Limit Theorem.mp47.36MB
  • 5 - Inferential Statistics/Confidence Interval Part2.mp47.61MB
  • 5 - Inferential Statistics/Expected Values Part2.mp48.19MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part2.mp48.53MB
  • 6 - Hypothesis Testing/Types of Error.mp48.89MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part1.mp48.99MB
  • 6 - Hypothesis Testing/More Examples.mp49.43MB
  • 9 - Simple Linear Regression/Introduction to Linear Regression (LR).mp410.03MB
  • 5 - Inferential Statistics/Normal Distribution.mp410.77MB
  • 6 - Hypothesis Testing/t- distribution Part2.mp411.09MB
  • 5 - Inferential Statistics/PDF.mp411.68MB
  • 1 - Python Fundamentals/String Part2.mp412.85MB
  • 5 - Inferential Statistics/Expected Values Part1.mp413.42MB
  • 5 - Inferential Statistics/Probability Distribution.mp413.48MB
  • 3 - Pandas/Merging Part 1.mp413.68MB
  • 5 - Inferential Statistics/z Score.mp413.81MB
  • 8 - Exploratory Data Analysis/Segmented Analysis.mp413.87MB
  • 3 - Pandas/Pivot Table.mp414.22MB
  • 5 - Inferential Statistics/Sampling Distribution.mp414.57MB
  • 4 - Some Fun With Maths/Linear Algebra - 2D to nD Part2.mp414.58MB
  • 2 - Numpy/Introduction.mp414.71MB
  • 6 - Hypothesis Testing/Examples.mp415.37MB
  • 3 - Pandas/Merging Part2.mp415.73MB
  • 4 - Some Fun With Maths/Linear Algebra - Going From 2D to nD Part1.mp416MB
  • 6 - Hypothesis Testing/NULL and Alternate Hypothesis.mp416.09MB
  • 5 - Inferential Statistics/Without Experiment.mp416.48MB
  • 1 - Python Fundamentals/Numeric Operations in Python.mp416.84MB
  • 6 - Hypothesis Testing/Introduction.mp417.42MB
  • 3 - Pandas/loc and iloc.mp417.5MB
  • 1 - Python Fundamentals/Tuples.mp417.54MB
  • 8 - Exploratory Data Analysis/Data Cleaning part2.mp417.64MB
  • 1 - Python Fundamentals/List Part3.mp418.01MB
  • 5 - Inferential Statistics/Confidence Interval Part1.mp419.42MB
  • 9 - Simple Linear Regression/Types of Machine Learning.mp419.63MB
  • 3 - Pandas/Reading CSV.mp419.99MB
  • 1 - Python Fundamentals/List Part2.mp420.84MB
  • 6 - Hypothesis Testing/One_Two Tailed Tests.mp420.88MB
  • 3 - Pandas/Introduction.mp421MB
  • 3 - Pandas/Operations Part2.mp421.36MB
  • 5 - Inferential Statistics/Sampling.mp421.97MB
  • 3 - Pandas/groupby.mp422.66MB
  • 6 - Hypothesis Testing/p Value.mp422.84MB
  • 3 - Pandas/Indexes.mp423.53MB
  • 1 - Python Fundamentals/Installation of Python and Anaconda.mp424.05MB
  • 9 - Simple Linear Regression/LR Case Study Part3.mp424.68MB
  • 1 - Python Fundamentals/Sets.mp426.07MB
  • 9 - Simple Linear Regression/LR Case Study Part2.mp427.63MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part6.mp428.01MB
  • 1 - Python Fundamentals/List Part4.mp428.17MB
  • 1 - Python Fundamentals/Dictionaries.mp428.22MB
  • 3 - Pandas/Series.mp429.05MB
  • 9 - Simple Linear Regression/R Square.mp429.11MB
  • 9 - Simple Linear Regression/Some Fun With Maths Behind LR.mp429.42MB
  • 11 - Loan Analysis Project/Problem Statement.mp429.53MB
  • 7 - Data Visualization/Seaborn on Time Series Data.mp430.43MB
  • 1 - Python Fundamentals/If else Loop.mp430.77MB
  • 8 - Exploratory Data Analysis/Univariate Analysis Part1.mp430.82MB
  • 5 - Inferential Statistics/Probability Theory.mp431.28MB
  • 3 - Pandas/DataFrame.mp431.37MB
  • 9 - Simple Linear Regression/How LR Works.mp431.98MB
  • 11 - Loan Analysis Project/Segmented Univariate Analysis.mp432.49MB
  • 8 - Exploratory Data Analysis/Bivariate Analysis.mp433.09MB
  • 1 - Python Fundamentals/Comprehensions.mp433.49MB
  • 8 - Exploratory Data Analysis/Univariate Analysis Part2.mp434.55MB
  • 1 - Python Fundamentals/for while Loop.mp436.08MB
  • 11 - Loan Analysis Project/Data Analysis - Univariate & Bivariate Analysis.mp437.31MB
  • 6 - Hypothesis Testing/z Table.mp437.77MB
  • 1 - Python Fundamentals/Functions.mp439.14MB
  • 9 - Simple Linear Regression/Installing Anaconda & using Jupyter Notebook.mp441.58MB
  • 8 - Exploratory Data Analysis/Data Cleaning part1.mp443.29MB
  • 4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp446.4MB
  • 1 - Python Fundamentals/String Part1.mp447.95MB
  • 11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp449.63MB
  • 1 - Python Fundamentals/Variables in Python.mp450.44MB
  • 8 - Exploratory Data Analysis/Derived Columns.mp450.71MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp453.21MB
  • 5 - Inferential Statistics/Binomial Distribution.mp454.05MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp454.38MB
  • 2 - Numpy/Numpy Operations Part1.mp457.35MB
  • 4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp458.24MB
  • 7 - Data Visualization/Case Study.mp460.43MB
  • 9 - Simple Linear Regression/LR Case Study Part1.mp472.75MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp479.31MB
  • 2 - Numpy/Numpy Operations Part2.mp480.07MB
  • 7 - Data Visualization/Matplotlib.mp485.97MB
  • 7 - Data Visualization/Seaborn.mp491.61MB
  • 4 - Some Fun With Maths/Linear Algebra - Vectors.mp493.46MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4100.98MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4120.86MB