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[FreeCourseSite.com] Udemy - Data Science Bootcamp with 5 Data Science Projects

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种子名称: [FreeCourseSite.com] Udemy - Data Science Bootcamp with 5 Data Science Projects
文件类型: 视频
文件数目: 260个文件
文件大小: 11.57 GB
收录时间: 2022-5-29 08:50
已经下载: 3
资源热度: 130
最近下载: 2024-11-28 09:05

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[FreeCourseSite.com] Udemy - Data Science Bootcamp with 5 Data Science Projects.torrent
  • 01 - Python Fundamentals/001 Why should you learn Python_.mp4129.09MB
  • 01 - Python Fundamentals/002 Installing Python and Jupyter Notebook.mp495.36MB
  • 01 - Python Fundamentals/003 Understanding the Interface of Jupyter Notebook.mp470.32MB
  • 01 - Python Fundamentals/004 Naming Convention for variables.mp453.82MB
  • 01 - Python Fundamentals/005 Built in Data Types and Type Casting.mp473MB
  • 01 - Python Fundamentals/006 Scope of Variables.mp438.17MB
  • 01 - Python Fundamentals/007 Q and A.mp423.42MB
  • 01 - Python Fundamentals/008 Quiz Solution.mp426.13MB
  • 01 - Python Fundamentals/009 Thanks for your support__.mp437.1MB
  • 01 - Python Fundamentals/010 Arithmetic and Assignment Operators.mp478.02MB
  • 01 - Python Fundamentals/011 Comparison, Logical, and Bitwise Operators.mp460.94MB
  • 01 - Python Fundamentals/012 Identity and Membership Operators.mp439.58MB
  • 01 - Python Fundamentals/013 Quiz Solution.mp413.66MB
  • 01 - Python Fundamentals/014 String Formatting.mp451.53MB
  • 01 - Python Fundamentals/015 String Methods.mp443.31MB
  • 01 - Python Fundamentals/016 User Input.mp441.74MB
  • 01 - Python Fundamentals/017 Quiz Solution.mp427.23MB
  • 01 - Python Fundamentals/018 If, elif, and else.mp467.67MB
  • 01 - Python Fundamentals/019 For and While.mp452.71MB
  • 01 - Python Fundamentals/020 Break and Continue.mp441.33MB
  • 01 - Python Fundamentals/021 Quiz Solution.mp425.97MB
  • 02 - Mastering Python Data Structures/001 Differences between Lists and Tuples.mp449.51MB
  • 02 - Mastering Python Data Structures/002 Operations on Lists.mp443.35MB
  • 02 - Mastering Python Data Structures/003 Operations on Tuples.mp427.49MB
  • 02 - Mastering Python Data Structures/004 Quiz Solution.mp412.55MB
  • 02 - Mastering Python Data Structures/005 Introduction to Dictionaries.mp467.74MB
  • 02 - Mastering Python Data Structures/006 Operations on Dictionaries.mp436.8MB
  • 02 - Mastering Python Data Structures/007 Nested Dictionaries.mp461.15MB
  • 02 - Mastering Python Data Structures/008 Introduction to Sets.mp477.52MB
  • 02 - Mastering Python Data Structures/009 Set Operations.mp458.78MB
  • 02 - Mastering Python Data Structures/010 Quiz Solution.mp422.54MB
  • 02 - Mastering Python Data Structures/011 Introduction to Stacks and Queues.mp450.42MB
  • 02 - Mastering Python Data Structures/012 Implementing Stacks and Queues using Lists.mp436.63MB
  • 02 - Mastering Python Data Structures/013 Implementing Stacks andd Queues using Deque.mp442.02MB
  • 02 - Mastering Python Data Structures/014 Quiz Solution.mp421.81MB
  • 02 - Mastering Python Data Structures/015 Time Complexity.mp4124.67MB
  • 02 - Mastering Python Data Structures/016 Linear Search.mp499.4MB
  • 02 - Mastering Python Data Structures/017 Binary Search.mp4113.82MB
  • 02 - Mastering Python Data Structures/018 Bubble Sort.mp478.03MB
  • 02 - Mastering Python Data Structures/019 Insertion and Selection Sort.mp4123.74MB
  • 02 - Mastering Python Data Structures/020 Merge Sort.mp4119.21MB
  • 02 - Mastering Python Data Structures/021 Quiz Solution.mp440.81MB
  • 03 - Python Functions Deep Dive/001 Introduction to Functions.mp441.13MB
  • 03 - Python Functions Deep Dive/002 Default Parameters in Functions.mp454.34MB
  • 03 - Python Functions Deep Dive/003 Positional Arguments.mp432.61MB
  • 03 - Python Functions Deep Dive/004 Keyword Arguments.mp436.34MB
  • 03 - Python Functions Deep Dive/005 Python Modules.mp443.49MB
  • 03 - Python Functions Deep Dive/006 Quiz Solution.mp426.49MB
  • 03 - Python Functions Deep Dive/007 Lambda Functions.mp454.76MB
  • 03 - Python Functions Deep Dive/008 Filter, Map, and Zip Functions.mp479.95MB
  • 03 - Python Functions Deep Dive/009 List, set, and Dictionary Comprehensions.mp455.3MB
  • 03 - Python Functions Deep Dive/010 Quiz Solution.mp422.68MB
  • 03 - Python Functions Deep Dive/011 Introduction to Aggregate Functions.mp430.56MB
  • 03 - Python Functions Deep Dive/012 Introduction to Analytical Functions.mp434.17MB
  • 03 - Python Functions Deep Dive/013 Quiz Solution.mp414.89MB
  • 03 - Python Functions Deep Dive/014 Solving the Factorial Problem using Recursion.mp457.21MB
  • 03 - Python Functions Deep Dive/015 Solving the Fibonacci Problem using Recursion.mp464.94MB
  • 03 - Python Functions Deep Dive/016 Quiz Solution.mp421.44MB
  • 03 - Python Functions Deep Dive/017 Introduction to Classes and Objects.mp439.59MB
  • 03 - Python Functions Deep Dive/018 Inheritance.mp432.82MB
  • 03 - Python Functions Deep Dive/019 Encapsulation.mp463.36MB
  • 03 - Python Functions Deep Dive/020 Polymorhism.mp447.49MB
  • 03 - Python Functions Deep Dive/021 Quiz Solution.mp422.39MB
  • 04 - Python for Data Science/001 Introduction to datetime.mp438.54MB
  • 04 - Python for Data Science/002 The date and time class.mp433.57MB
  • 04 - Python for Data Science/003 The datetime class.mp422.92MB
  • 04 - Python for Data Science/004 The timedelta class.mp419.82MB
  • 04 - Python for Data Science/005 Quiz Solution.mp423.24MB
  • 04 - Python for Data Science/006 Meta Characters for Regular Expressions.mp475.53MB
  • 04 - Python for Data Science/007 Built-in Functions for Regular Expressions.mp437.61MB
  • 04 - Python for Data Science/008 Special Characters for Regular Expressions.mp423MB
  • 04 - Python for Data Science/009 Sets for Regular Expressions.mp456.98MB
  • 04 - Python for Data Science/010 Quiz Solution.mp413.79MB
  • 04 - Python for Data Science/011 Array Creation using Numpy.mp451.86MB
  • 04 - Python for Data Science/012 Mathematical Operations using Numpy.mp436.85MB
  • 04 - Python for Data Science/013 Built-in Functions in Numpy.mp440.8MB
  • 04 - Python for Data Science/014 Quiz Solution.mp430.89MB
  • 04 - Python for Data Science/015 Reading Datasets using Pandas.mp467.84MB
  • 04 - Python for Data Science/016 Plotting Data in Pandas.mp436.62MB
  • 04 - Python for Data Science/017 Indexing, Selecting, and Filtering Data using Pandas.mp420.7MB
  • 04 - Python for Data Science/018 Merging and Concatenating DataFrames.mp476.71MB
  • 04 - Python for Data Science/019 Lambda, Map, and Apply Functions.mp438.14MB
  • 04 - Python for Data Science/020 Quiz Solution.mp429.76MB
  • 05 - Data Cleaning/001 Causes and Impact of Missing Values.mp466.79MB
  • 05 - Data Cleaning/002 Types of Missing Values.mp464.17MB
  • 05 - Data Cleaning/003 When should we delete the missing values.mp462.56MB
  • 05 - Data Cleaning/004 Imputing missing values with the business logic.mp476.92MB
  • 05 - Data Cleaning/005 Imputing missing values with Mean_Median_Mode.mp458.04MB
  • 05 - Data Cleaning/006 Imputing missing values in a real-time scenario.mp482.57MB
  • 05 - Data Cleaning/007 Quiz Solution.mp450.12MB
  • 05 - Data Cleaning/008 How outliers can be harmful for machine learning models.mp469.04MB
  • 05 - Data Cleaning/009 Finding out outliers from the data.mp463.2MB
  • 05 - Data Cleaning/010 Using Winsorization to deal with outliers.mp452.15MB
  • 05 - Data Cleaning/011 Deleting and Capping the outliers.mp462.75MB
  • 05 - Data Cleaning/012 Dealing with outliers in a real-world scenario.mp451.5MB
  • 05 - Data Cleaning/013 Quiz Solution.mp457.54MB
  • 05 - Data Cleaning/014 Introduction to reindex, set_index, reset_index, and sort_index Functions.mp444.31MB
  • 05 - Data Cleaning/015 Introduction to Replace and Drop level Function.mp433.69MB
  • 05 - Data Cleaning/016 Introduction to Split and Strip Function.mp437.78MB
  • 05 - Data Cleaning/017 Introduction to Stack, and Unstack Functions.mp410.55MB
  • 05 - Data Cleaning/018 Introduction to Melt, Explode, and Squeeze Functions.mp441.51MB
  • 05 - Data Cleaning/019 Data Cleaning on Big Mart Dataset.mp438.28MB
  • 05 - Data Cleaning/020 Data Cleaning on Movie Dataset.mp437.51MB
  • 05 - Data Cleaning/021 Data Cleaning on Melbourne Housing Dataset.mp442.13MB
  • 05 - Data Cleaning/022 Data Cleaning on Naukri Dataset.mp4104.43MB
  • 06 - Query Analysis/001 Aggregate functions used for Grouping.mp451.71MB
  • 06 - Query Analysis/002 Using Groupby for Grouping Operations.mp427.29MB
  • 06 - Query Analysis/003 Groupby with Idxmax and Idxmin functions.mp426.44MB
  • 06 - Query Analysis/004 Using Color scales for better visualization.mp423.74MB
  • 06 - Query Analysis/005 Visualizing the Groupby Operations.mp429.03MB
  • 06 - Query Analysis/006 Using Pivot Tables for Grouping Operations.mp430.9MB
  • 06 - Query Analysis/007 Difference between Groupby and Pivot tables.mp424.46MB
  • 06 - Query Analysis/008 Performing Cross Tabulation.mp439.23MB
  • 06 - Query Analysis/009 Visualizing Cross tabulated Data.mp423.17MB
  • 06 - Query Analysis/010 Interactive Grouping Operations.mp436.2MB
  • 06 - Query Analysis/011 Quiz Solution.mp455.91MB
  • 06 - Query Analysis/012 When to perform Filtering Operations.mp439.7MB
  • 06 - Query Analysis/013 Introduction to Simple Filtering Operations.mp422.55MB
  • 06 - Query Analysis/014 Advanced Filtering Operations.mp436.29MB
  • 06 - Query Analysis/015 Filtering and Grouping Operations.mp421.74MB
  • 06 - Query Analysis/016 Interactive Filtering Operations.mp48.16MB
  • 06 - Query Analysis/017 Quiz Solution.mp446.89MB
  • 07 - Data Visualizations/001 Univariate Analysis.mp457.08MB
  • 07 - Data Visualizations/002 Bivariate Analysis.mp445.78MB
  • 07 - Data Visualizations/003 Multivariate Analysis.mp472.35MB
  • 07 - Data Visualizations/004 Quiz Solution.mp448.16MB
  • 07 - Data Visualizations/005 Scatter Plots.mp445.62MB
  • 07 - Data Visualizations/006 Charts with Colorscale.mp432.51MB
  • 07 - Data Visualizations/007 Bar, Line, and Area Charts.mp448.52MB
  • 07 - Data Visualizations/008 Facet Grids.mp438.94MB
  • 07 - Data Visualizations/009 Statistical Charts.mp437.67MB
  • 07 - Data Visualizations/010 Polar Charts.mp429.6MB
  • 07 - Data Visualizations/011 Subplots.mp435.33MB
  • 07 - Data Visualizations/012 3D Charts.mp424.94MB
  • 07 - Data Visualizations/013 Waffle Charts.mp47.03MB
  • 07 - Data Visualizations/014 Maps.mp430.72MB
  • 07 - Data Visualizations/015 Quiz Solution.mp449.7MB
  • 07 - Data Visualizations/016 Animation with Bubbleplot.mp449.05MB
  • 07 - Data Visualizations/017 Animation with Facets.mp427.39MB
  • 07 - Data Visualizations/018 Animation with Scatter Maps.mp423.16MB
  • 07 - Data Visualizations/019 Animation with Choropleth Maps.mp430.59MB
  • 07 - Data Visualizations/020 Quiz Solution.mp435.12MB
  • 07 - Data Visualizations/021 Introduction to Ipywidgets.mp438.57MB
  • 07 - Data Visualizations/022 Interactive Univariate Analysis.mp430.36MB
  • 07 - Data Visualizations/023 Interactive Bivariate Analysis.mp433.72MB
  • 07 - Data Visualizations/024 Interactive Multivariate Analysis.mp429.7MB
  • 07 - Data Visualizations/025 Quiz Solution.mp455.06MB
  • 07 - Data Visualizations/026 Sunburst Charts.mp433.79MB
  • 07 - Data Visualizations/027 Parallel Co-ordinate Charts.mp423.4MB
  • 07 - Data Visualizations/028 Funnel Charts.mp439.13MB
  • 07 - Data Visualizations/029 Gantt Charts.mp425MB
  • 07 - Data Visualizations/030 Ternary Charts.mp420.43MB
  • 07 - Data Visualizations/031 Tree Maps.mp421.77MB
  • 07 - Data Visualizations/032 Network Charts.mp440.82MB
  • 07 - Data Visualizations/033 Quiz Solution.mp438.62MB
  • 08 - Statistics and Probability/001 Why you should learn Statistics and Probability.mp427.71MB
  • 08 - Statistics and Probability/002 Walking through the course Content.mp47.4MB
  • 08 - Statistics and Probability/003 Applications of Probability in Real Life.mp461.75MB
  • 08 - Statistics and Probability/004 Basic Probability.mp458.64MB
  • 08 - Statistics and Probability/005 Conditional Probability.mp463.17MB
  • 08 - Statistics and Probability/006 Set Theory.mp459.64MB
  • 08 - Statistics and Probability/007 Bayes' Theorem.mp446.47MB
  • 08 - Statistics and Probability/008 Permutations and Combinations.mp476.76MB
  • 08 - Statistics and Probability/009 Quiz Solution.mp466.66MB
  • 08 - Statistics and Probability/010 Types of Data.mp455.47MB
  • 08 - Statistics and Probability/011 Measures of Central Tendency.mp452.89MB
  • 08 - Statistics and Probability/012 Measures of Spread.mp461.45MB
  • 08 - Statistics and Probability/013 Measures of Dependence.mp432.56MB
  • 08 - Statistics and Probability/014 Quiz Solution.mp449.99MB
  • 08 - Statistics and Probability/015 Continuous vs Discrete Distributions.mp428.38MB
  • 08 - Statistics and Probability/016 Introduction to Normal Distribution.mp442.91MB
  • 08 - Statistics and Probability/017 Concept of Skewness.mp441.04MB
  • 08 - Statistics and Probability/018 Using QQ Plots to check Normal Distribution.mp437.09MB
  • 08 - Statistics and Probability/019 Quiz Solution.mp446.28MB
  • 08 - Statistics and Probability/020 Sample Mean and Population Mean.mp467.63MB
  • 08 - Statistics and Probability/021 Central Limit Theorem.mp457.02MB
  • 08 - Statistics and Probability/022 Bias and Variance.mp451.72MB
  • 08 - Statistics and Probability/023 Maximum Likelihood Estimation.mp457.22MB
  • 08 - Statistics and Probability/024 Confidence Intervals.mp494.96MB
  • 08 - Statistics and Probability/025 Quiz Solution.mp455.19MB
  • 09 - Hypothesis Testing/001 What is Hypothesis Testing.mp454.51MB
  • 09 - Hypothesis Testing/002 Null Hypothesis and Alternate Hypothesis.mp455.28MB
  • 09 - Hypothesis Testing/003 Types of Error.mp435.34MB
  • 09 - Hypothesis Testing/004 P-Value and Level of Significance.mp478.73MB
  • 09 - Hypothesis Testing/005 Quiz Solution.mp453.59MB
  • 09 - Hypothesis Testing/006 One Sampled T Test.mp469.47MB
  • 09 - Hypothesis Testing/007 Two Sampled T Test.mp440.78MB
  • 09 - Hypothesis Testing/008 Paired Sampled T Test.mp444.97MB
  • 09 - Hypothesis Testing/009 Quiz Solution.mp445.33MB
  • 09 - Hypothesis Testing/010 One Sampled Z Test.mp470.05MB
  • 09 - Hypothesis Testing/011 Two Sampled Z Test.mp449.57MB
  • 09 - Hypothesis Testing/012 Quiz Solution.mp442.87MB
  • 09 - Hypothesis Testing/013 One Sampled ANOVA Test.mp450.31MB
  • 09 - Hypothesis Testing/014 Two Sampled ANOVA Test.mp440.37MB
  • 09 - Hypothesis Testing/015 Quiz Solution.mp440.26MB
  • 09 - Hypothesis Testing/016 Goodness of Fit Test.mp437.99MB
  • 09 - Hypothesis Testing/017 Test of Independence.mp410.91MB
  • 09 - Hypothesis Testing/018 Quiz Solution.mp439.51MB
  • 10 - Data Exploration/001 Why EDA and how it is useful.mp443.85MB
  • 10 - Data Exploration/002 Course curriculum walkthrough.mp454.71MB
  • 10 - Data Exploration/003 Data Profiling.mp467.94MB
  • 10 - Data Exploration/004 Analyzing Target Data.mp451.88MB
  • 10 - Data Exploration/005 Quiz Solution.mp437.81MB
  • 10 - Data Exploration/006 Summarizing data.mp438.89MB
  • 10 - Data Exploration/007 Exploring the Dabl Library.mp4104.41MB
  • 10 - Data Exploration/008 Exploring the Sweetviz Library.mp481.57MB
  • 10 - Data Exploration/009 Using Color Gradients for better analysis.mp413.91MB
  • 10 - Data Exploration/010 Best Practices for Data Exploration.mp441.22MB
  • 10 - Data Exploration/011 Quiz Solution.mp443.65MB
  • 11 - Capstone Project 1_ Players Performance Analysis/001 Understanding the problem statement.mp454.63MB
  • 11 - Capstone Project 1_ Players Performance Analysis/002 Setting up the Environment.mp420.59MB
  • 11 - Capstone Project 1_ Players Performance Analysis/003 Data Cleaning.mp473.59MB
  • 11 - Capstone Project 1_ Players Performance Analysis/004 Feature Engineering.mp447.52MB
  • 11 - Capstone Project 1_ Players Performance Analysis/005 Data Visualization.mp475.04MB
  • 11 - Capstone Project 1_ Players Performance Analysis/006 Query Analysis.mp451.24MB
  • 11 - Capstone Project 1_ Players Performance Analysis/007 Major Learnings from the project.mp440.09MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/001 Understanding the Problem Statement.mp451.97MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/002 Setting up the Environment.mp48.83MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/003 Data Cleaning.mp452.71MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/004 Querying the data using Visualizations Part - 1.mp452.35MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/005 Querying the data using Visualizations Part - 2.mp432.74MB
  • 12 - Capstone Project 2_ Startups Case Study and Analysis/006 Major learning from the Project.mp431.85MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/001 Setting up the Environment.mp446.29MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/002 Taking a Deep Dive into the Dataset.mp448.4MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/003 Understanding the Problem Statement.mp410.41MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/004 Missing Values Imputation.mp452.98MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/005 Top 10 Profitable Movies.mp450.11MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/006 Manipulating the Duration and Language Column.mp452.93MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/007 Extracting the Movie Genres.mp450.94MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/008 Top 10 Most Popular Movies on Social Media.mp433.61MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/009 Analysing Which Genre is Most Bankable_.mp438.43MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/010 Loss and Profit Analysis on English and Foreign Movies.mp443.14MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/011 Gross Comparison of Long and Short Movies.mp446.81MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/012 Association between IMDB Rating and Duration.mp448.44MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/013 Comparing Critically acclaimed Actors.mp462.46MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/014 Top Movies based on Gross, and IMDB.mp434.09MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/015 Recommending Movies based on Languages and Actors.mp447.62MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/016 Recommending Similar Genres and Movies.mp470.53MB
  • 13 - Capstone Project 3_ Movie Recommender Systems/017 Key Takeaways from this Project.mp434.7MB
  • 14 - Capstone Project 4_ Global Cost of Living/001 Setting up Environment.mp426.84MB
  • 14 - Capstone Project 4_ Global Cost of Living/002 Understanding the Dataset.mp436.63MB
  • 14 - Capstone Project 4_ Global Cost of Living/003 Understanding the Problem Statement.mp412.61MB
  • 14 - Capstone Project 4_ Global Cost of Living/004 Extracting Latitude and Longitude from the L.mp483.91MB
  • 14 - Capstone Project 4_ Global Cost of Living/005 Performing Feature Engineering.mp426.36MB
  • 14 - Capstone Project 4_ Global Cost of Living/006 Comparing Lifestyle in different Countries.mp427.08MB
  • 14 - Capstone Project 4_ Global Cost of Living/007 Top N and Bottom N Analysis.mp433.44MB
  • 14 - Capstone Project 4_ Global Cost of Living/008 Performing Geo spatial Analysis.mp436.54MB
  • 14 - Capstone Project 4_ Global Cost of Living/009 Comparing different Lifestyle Factors.mp421.68MB
  • 14 - Capstone Project 4_ Global Cost of Living/010 Comparing Some of the Most Popular Countries.mp425.6MB
  • 14 - Capstone Project 4_ Global Cost of Living/011 Comparing Lifestyle in Indian Cities.mp426.53MB
  • 14 - Capstone Project 4_ Global Cost of Living/012 Ranking Places based on their cost of living.mp426.54MB
  • 14 - Capstone Project 4_ Global Cost of Living/013 Analysing Cost of Essential Items.mp452.91MB
  • 14 - Capstone Project 4_ Global Cost of Living/014 Analysing Quality of Life.mp425.98MB
  • 14 - Capstone Project 4_ Global Cost of Living/015 Suggesting Better places to live.mp421.91MB
  • 15 - Capstone Project 5_ Customer Segmentation Engine/001 Understanding the Problem Statement.mp455.69MB
  • 15 - Capstone Project 5_ Customer Segmentation Engine/002 Setting up the Environment.mp412.68MB
  • 15 - Capstone Project 5_ Customer Segmentation Engine/003 Data Analysis and Visualization.mp471.94MB
  • 15 - Capstone Project 5_ Customer Segmentation Engine/004 KMeans Clustering Analysis.mp461.79MB
  • 15 - Capstone Project 5_ Customer Segmentation Engine/005 Major Learnings from the projects.mp438.13MB
  • 16 - Outro Section/001 Conclusion.mp416.83MB