Data Statistics with Full Stack Python

磁力链接/BT种子名称

Data Statistics with Full Stack Python

磁力链接/BT种子简介

种子哈希：f43cc456201c1123505e3939a51d5ffb7c18b678
文件大小： 2.84G
已经下载：1343次
下载速度：极快
收录时间：2021-04-20
最近下载：2025-09-20

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文件列表

  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4 126.7 MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4 105.9 MB
  • 4 - Some Fun With Maths/Linear Algebra - Vectors.mp4 98.0 MB
  • 7 - Data Visualization/Seaborn.mp4 96.1 MB
  • 7 - Data Visualization/Matplotlib.mp4 90.1 MB
  • 2 - Numpy/Numpy Operations Part2.mp4 84.0 MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp4 83.2 MB
  • 9 - Simple Linear Regression/LR Case Study Part1.mp4 76.3 MB
  • 7 - Data Visualization/Case Study.mp4 63.4 MB
  • 4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp4 61.1 MB
  • 2 - Numpy/Numpy Operations Part1.mp4 60.1 MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp4 57.0 MB
  • 5 - Inferential Statistics/Binomial Distribution.mp4 56.7 MB
  • 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp4 55.8 MB
  • 8 - Exploratory Data Analysis/Derived Columns.mp4 53.2 MB
  • 1 - Python Fundamentals/Variables in Python.mp4 52.9 MB
  • 11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp4 52.0 MB
  • 1 - Python Fundamentals/String Part1.mp4 50.3 MB
  • 4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp4 48.7 MB
  • 8 - Exploratory Data Analysis/Data Cleaning part1.mp4 45.4 MB
  • 9 - Simple Linear Regression/Installing Anaconda & using Jupyter Notebook.mp4 43.6 MB
  • 1 - Python Fundamentals/Functions.mp4 41.0 MB
  • 6 - Hypothesis Testing/z Table.mp4 39.6 MB
  • 11 - Loan Analysis Project/Data Analysis - Univariate & Bivariate Analysis.mp4 39.1 MB
  • 1 - Python Fundamentals/for while Loop.mp4 37.8 MB
  • 8 - Exploratory Data Analysis/Univariate Analysis Part2.mp4 36.2 MB
  • 1 - Python Fundamentals/Comprehensions.mp4 35.1 MB
  • 8 - Exploratory Data Analysis/Bivariate Analysis.mp4 34.7 MB
  • 11 - Loan Analysis Project/Segmented Univariate Analysis.mp4 34.1 MB
  • 9 - Simple Linear Regression/How LR Works.mp4 33.5 MB
  • 3 - Pandas/DataFrame.mp4 32.9 MB
  • 5 - Inferential Statistics/Probability Theory.mp4 32.8 MB
  • 8 - Exploratory Data Analysis/Univariate Analysis Part1.mp4 32.3 MB
  • 1 - Python Fundamentals/If else Loop.mp4 32.3 MB
  • 7 - Data Visualization/Seaborn on Time Series Data.mp4 31.9 MB
  • 11 - Loan Analysis Project/Problem Statement.mp4 31.0 MB
  • 9 - Simple Linear Regression/Some Fun With Maths Behind LR.mp4 30.8 MB
  • 9 - Simple Linear Regression/R Square.mp4 30.5 MB
  • 3 - Pandas/Series.mp4 30.5 MB
  • 1 - Python Fundamentals/Dictionaries.mp4 29.6 MB
  • 1 - Python Fundamentals/List Part4.mp4 29.5 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part6.mp4 29.4 MB
  • 9 - Simple Linear Regression/LR Case Study Part2.mp4 29.0 MB
  • 1 - Python Fundamentals/Sets.mp4 27.3 MB
  • 9 - Simple Linear Regression/LR Case Study Part3.mp4 25.9 MB
  • 1 - Python Fundamentals/Installation of Python and Anaconda.mp4 25.2 MB
  • 3 - Pandas/Indexes.mp4 24.7 MB
  • 6 - Hypothesis Testing/p Value.mp4 23.9 MB
  • 3 - Pandas/groupby.mp4 23.8 MB
  • 5 - Inferential Statistics/Sampling.mp4 23.0 MB
  • 3 - Pandas/Operations Part2.mp4 22.4 MB
  • 3 - Pandas/Introduction.mp4 22.0 MB
  • 6 - Hypothesis Testing/One_Two Tailed Tests.mp4 21.9 MB
  • 1 - Python Fundamentals/List Part2.mp4 21.8 MB
  • 3 - Pandas/Reading CSV.mp4 21.0 MB
  • 9 - Simple Linear Regression/Types of Machine Learning.mp4 20.6 MB
  • 5 - Inferential Statistics/Confidence Interval Part1.mp4 20.4 MB
  • 1 - Python Fundamentals/List Part3.mp4 18.9 MB
  • 8 - Exploratory Data Analysis/Data Cleaning part2.mp4 18.5 MB
  • 1 - Python Fundamentals/Tuples.mp4 18.4 MB
  • 3 - Pandas/loc and iloc.mp4 18.4 MB
  • 6 - Hypothesis Testing/Introduction.mp4 18.3 MB
  • 1 - Python Fundamentals/Numeric Operations in Python.mp4 17.7 MB
  • 5 - Inferential Statistics/Without Experiment.mp4 17.3 MB
  • 6 - Hypothesis Testing/NULL and Alternate Hypothesis.mp4 16.9 MB
  • 4 - Some Fun With Maths/Linear Algebra - Going From 2D to nD Part1.mp4 16.8 MB
  • 3 - Pandas/Merging Part2.mp4 16.5 MB
  • 6 - Hypothesis Testing/Examples.mp4 16.1 MB
  • 2 - Numpy/Introduction.mp4 15.4 MB
  • 4 - Some Fun With Maths/Linear Algebra - 2D to nD Part2.mp4 15.3 MB
  • 5 - Inferential Statistics/Sampling Distribution.mp4 15.3 MB
  • 3 - Pandas/Pivot Table.mp4 14.9 MB
  • 8 - Exploratory Data Analysis/Segmented Analysis.mp4 14.5 MB
  • 5 - Inferential Statistics/z Score.mp4 14.5 MB
  • 3 - Pandas/Merging Part 1.mp4 14.3 MB
  • 5 - Inferential Statistics/Probability Distribution.mp4 14.1 MB
  • 5 - Inferential Statistics/Expected Values Part1.mp4 14.1 MB
  • 1 - Python Fundamentals/String Part2.mp4 13.5 MB
  • 5 - Inferential Statistics/PDF.mp4 12.2 MB
  • 6 - Hypothesis Testing/t- distribution Part2.mp4 11.6 MB
  • 5 - Inferential Statistics/Normal Distribution.mp4 11.3 MB
  • 9 - Simple Linear Regression/Introduction to Linear Regression (LR).mp4 10.5 MB
  • 6 - Hypothesis Testing/More Examples.mp4 9.9 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part1.mp4 9.4 MB
  • 6 - Hypothesis Testing/Types of Error.mp4 9.3 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part2.mp4 8.9 MB
  • 5 - Inferential Statistics/Expected Values Part2.mp4 8.6 MB
  • 5 - Inferential Statistics/Confidence Interval Part2.mp4 8.0 MB
  • 5 - Inferential Statistics/Central Limit Theorem.mp4 7.7 MB
  • 6 - Hypothesis Testing/Critical Value Method.mp4 7.7 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part5.mp4 7.4 MB
  • 6 - Hypothesis Testing/t- distribution Part1.mp4 6.5 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part4.mp4 6.4 MB
  • 1 - Python Fundamentals/List Part1.mp4 6.3 MB
  • 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part3.mp4 6.3 MB
  • 5 - Inferential Statistics/Inferential Statistics.mp4 6.3 MB
  • 9 - Simple Linear Regression/Introduction to Machine Learning.mp4 6.3 MB
  • 3 - Pandas/Operations Part1.mp4 6.2 MB
  • 1 - Python Fundamentals/Logical Operations.mp4 5.3 MB
  • 5 - Inferential Statistics/Commulative Distribution.mp4 5.1 MB
  • 1 - Python Fundamentals/Python Introduction.mp4 4.5 MB
  • 9 - Simple Linear Regression/Residual Square Error (RSE).mp4 2.7 MB
  • 8 - Exploratory Data Analysis/Introduction.mp4 2.3 MB
  • 1 - Python Fundamentals/Code Password.mp4 990.0 kB
  • ReadMe.txt 627 Bytes
  • 1 - Python Fundamentals/ReadMe.txt 627 Bytes
  • Visit Getnewcourses.com.url 343 Bytes
  • Visit Freecourseit.com.url 342 Bytes

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