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种子名称： Advanced Data Analytics Training using Python
文件类型： 视频
文件数目： 295个文件
文件大小： 14.88 GB
收录时间： 2023-6-1 21:00
已经下载： 3次
资源热度： 149
最近下载： 2024-11-4 00:10

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Advanced Data Analytics Training using Python.torrent

01 Python Fundamentals/006 Built in Data Types and Type Casting.mp4137.59MB

01 Python Fundamentals/002 Why should you learn Python_.mp4129.01MB

01 Python Fundamentals/003 Installing Python and Jupyter Notebook.mp495.22MB

01 Python Fundamentals/004 Understanding the Interface of Jupyter Notebook.mp470.32MB

01 Python Fundamentals/005 Naming Convention for variables.mp494.99MB

01 Python Fundamentals/001 Introduction.mp460.78MB

01 Python Fundamentals/007 Scope of Variables.mp466.6MB

01 Python Fundamentals/008 Quiz Solution.mp446.51MB

01 Python Fundamentals/009 Exercise on Variables and Data Types.mp453.91MB

01 Python Fundamentals/010 Solution on Variables and Data Types.mp434.77MB

01 Python Fundamentals/011 Exercise on Scope of Variables.mp473.89MB

01 Python Fundamentals/012 Solution on Scope of Variables.mp433.76MB

01 Python Fundamentals/013 Arithmetic and Assignment Operators.mp478.06MB

01 Python Fundamentals/014 Comparison, Logical, and Bitwise Operators.mp462.41MB

01 Python Fundamentals/015 Identity and Membership Operators.mp439.19MB

01 Python Fundamentals/016 Quiz Solution.mp434.18MB

01 Python Fundamentals/017 Exercise on Arithmetic and Assignment Operators.mp472.3MB

01 Python Fundamentals/018 Solution on Arithmetic and Assignment Operators.mp441.52MB

01 Python Fundamentals/019 Exercise on Comparison, Logical, and Bitwise Operators.mp477.32MB

01 Python Fundamentals/020 Solution on Comparison, Logical, and Bitwise Operators.mp439.35MB

01 Python Fundamentals/021 Exercise on Identity and Membership Operators.mp465.2MB

01 Python Fundamentals/022 Solution on Identity and Membership Operators.mp434.54MB

01 Python Fundamentals/023 String Formatting.mp450.08MB

01 Python Fundamentals/024 String Methods.mp443.12MB

01 Python Fundamentals/025 User Input.mp441.13MB

01 Python Fundamentals/026 Quiz Solution.mp453.07MB

01 Python Fundamentals/027 Exercise on Strings.mp452.91MB

01 Python Fundamentals/028 Solution on Strings.mp442.61MB

01 Python Fundamentals/029 If, elif, and else.mp465.91MB

01 Python Fundamentals/030 For and While.mp453.02MB

01 Python Fundamentals/031 Break and Continue.mp440.77MB

01 Python Fundamentals/032 Quiz Solution.mp449.05MB

01 Python Fundamentals/033 Exercise on Loops and Conditionals.mp474.45MB

01 Python Fundamentals/034 Solution on Loops and Conditionals.mp449.88MB

02 Python Data Structures/001 Differences between Lists and Tuples.mp448.68MB

02 Python Data Structures/002 Operations on Lists.mp444.43MB

02 Python Data Structures/003 Operations on Tuples.mp427.44MB

02 Python Data Structures/004 Quiz Solution.mp437.08MB

02 Python Data Structures/005 Exercises on Lists.mp463.77MB

02 Python Data Structures/006 Solution on Lists.mp440.95MB

02 Python Data Structures/007 Introduction to Dictionaries.mp466.83MB

02 Python Data Structures/008 Operations on Dictionaries.mp437.52MB

02 Python Data Structures/009 Nested Dictionaries.mp460.5MB

02 Python Data Structures/010 Introduction to Sets.mp475.46MB

02 Python Data Structures/011 Set Operations.mp458.61MB

02 Python Data Structures/012 Quiz Solution.mp438.26MB

02 Python Data Structures/013 Exercise on Sets.mp468.35MB

02 Python Data Structures/014 Solution on Sets.mp441.17MB

02 Python Data Structures/015 Exercises on Dictionaries.mp476.19MB

02 Python Data Structures/016 Solution on Dictionaries.mp454.85MB

02 Python Data Structures/017 Introduction to Stacks and Queues.mp448.76MB

02 Python Data Structures/018 Implementing Stacks and Queues using Lists.mp436.51MB

02 Python Data Structures/019 Implementing Stacks and Queues using Deque.mp441.56MB

02 Python Data Structures/020 Quiz Solution.mp439.49MB

02 Python Data Structures/021 Exercise on Stacks and Queues.mp4112.68MB

02 Python Data Structures/022 Solution on Stacks and Queues.mp452.89MB

02 Python Data Structures/023 Time Complexity.mp4120.24MB

02 Python Data Structures/024 Linear Search.mp495.41MB

02 Python Data Structures/025 Binary Search.mp4109.51MB

02 Python Data Structures/026 Bubble Sort.mp475.61MB

02 Python Data Structures/027 Insertion and Selection Sort.mp4120.17MB

02 Python Data Structures/028 Merge Sort.mp4115.32MB

02 Python Data Structures/029 Quiz Solution.mp473.16MB

02 Python Data Structures/030 Exercise on Searching and Sorting.mp490.08MB

02 Python Data Structures/031 Solution on Searching and Sorting.mp449.04MB

02 Python Data Structures/032 Exercise on Time Complexity.mp462.11MB

02 Python Data Structures/033 Solution on Time Complexity.mp450.72MB

03 Python Functions Deepdive/001 Introduction to Functions.mp440.15MB

03 Python Functions Deepdive/002 Default Parameters in Functions.mp454.03MB

03 Python Functions Deepdive/003 Positional Arguments.mp432.08MB

03 Python Functions Deepdive/004 Keyword Arguments.mp436.31MB

03 Python Functions Deepdive/005 Python Modules.mp442.66MB

03 Python Functions Deepdive/006 Quiz Solution.mp447.71MB

03 Python Functions Deepdive/007 Exercises on Functions.mp492.55MB

03 Python Functions Deepdive/008 Solution on Functions.mp439.86MB

03 Python Functions Deepdive/009 Exercises on Modules.mp484.73MB

03 Python Functions Deepdive/010 Solution on Modules.mp447.9MB

03 Python Functions Deepdive/011 Lambda Functions.mp453.11MB

03 Python Functions Deepdive/012 Filter, Map, and Zip Functions.mp479.86MB

03 Python Functions Deepdive/013 List, set, and Dictionary Comprehensions.mp454.57MB

03 Python Functions Deepdive/014 Quiz Solution.mp440.24MB

03 Python Functions Deepdive/015 Exercise on Lambda Functions.mp462.98MB

03 Python Functions Deepdive/016 Solution on Lambda Functions.mp435.06MB

03 Python Functions Deepdive/017 Exercise on Filter, Map, and Zip Functions.mp464.96MB

03 Python Functions Deepdive/018 Solution on Filter, Map, and Zip Functions.mp439.86MB

03 Python Functions Deepdive/019 Exercise on Comprehensions.mp461.18MB

03 Python Functions Deepdive/020 Solution on Comprehensions.mp445.49MB

03 Python Functions Deepdive/021 Introduction to Aggregate Functions.mp430.7MB

03 Python Functions Deepdive/022 Introduction to Analytical Functions.mp434.64MB

03 Python Functions Deepdive/023 Quiz Solution.mp438.23MB

03 Python Functions Deepdive/024 Exercise on Aggregate Functions.mp483.68MB

03 Python Functions Deepdive/025 Solution on Aggregate Functions.mp442.09MB

03 Python Functions Deepdive/026 Exercise on Analytical Functions.mp479.91MB

03 Python Functions Deepdive/027 Solution on Analytical Functions.mp442.01MB

03 Python Functions Deepdive/028 Solving the Factorial Problem using Recursion.mp455.36MB

03 Python Functions Deepdive/029 Solving the Fibonacci Problem using Recursion.mp462.67MB

03 Python Functions Deepdive/030 Quiz Solution.mp438.07MB

03 Python Functions Deepdive/031 Exercise on Recursions.mp468.01MB

03 Python Functions Deepdive/032 Solution on Recursions.mp436.71MB

03 Python Functions Deepdive/033 Introduction to Classes and Objects.mp439.53MB

03 Python Functions Deepdive/034 Inheritance.mp432.5MB

03 Python Functions Deepdive/035 Encapsulation.mp462.2MB

03 Python Functions Deepdive/036 Polymorphism.mp446.33MB

03 Python Functions Deepdive/037 Quiz Solution.mp440.45MB

03 Python Functions Deepdive/038 Exercise on Classes and Objects.mp485.12MB

03 Python Functions Deepdive/039 Solution on Classes and Objects.mp436.58MB

04 Python for Data Science/001 Introduction to datetime.mp437.53MB

04 Python for Data Science/002 The date and time class.mp433.62MB

04 Python for Data Science/003 The datetime class.mp422.51MB

04 Python for Data Science/004 The timedelta class.mp419.41MB

04 Python for Data Science/005 Quiz Solution.mp444.07MB

04 Python for Data Science/006 Exercise on Date and Time.mp465.94MB

04 Python for Data Science/007 Solution on Date and Time.mp439.36MB

04 Python for Data Science/008 Meta Characters for Regular Expressions.mp474.1MB

04 Python for Data Science/009 Built-in Functions for Regular Expressions.mp437.61MB

04 Python for Data Science/010 Special Characters for Regular Expressions.mp440.9MB

04 Python for Data Science/011 Sets for Regular Expressions.mp456.14MB

04 Python for Data Science/012 Quiz Solution.mp432.82MB

04 Python for Data Science/013 Exercise on Regular Expressions.mp462.08MB

04 Python for Data Science/014 Solution on Regular Expressions.mp433.72MB

04 Python for Data Science/015 Array Creation using Numpy.mp450.97MB

04 Python for Data Science/016 Mathematical Operations using Numpy.mp436.41MB

04 Python for Data Science/017 Built-in Functions in Numpy.mp439.95MB

04 Python for Data Science/018 Quiz Solution.mp457.61MB

04 Python for Data Science/019 Exercise on Built-in Functions in Numpy.mp464.39MB

04 Python for Data Science/020 Solution on Built-in Functions in Numpy.mp437.41MB

04 Python for Data Science/021 Reading Datasets using Pandas.mp465.68MB

04 Python for Data Science/022 Plotting Data in Pandas.mp435.73MB

04 Python for Data Science/023 Indexing, Selecting, and Filtering Data using Pandas.mp468.94MB

04 Python for Data Science/024 Merging and Concatenating DataFrames.mp476.62MB

04 Python for Data Science/025 Lambda, Map, and Apply Functions.mp437.16MB

04 Python for Data Science/026 Quiz Solution.mp454.69MB

04 Python for Data Science/027 Exercise on Pandas Plotting.mp450.78MB

04 Python for Data Science/028 Solution on Pandas Plotting.mp439.06MB

04 Python for Data Science/029 Exercise on Indexing and Selecting.mp455.38MB

04 Python for Data Science/030 Solution on Indexing and Selecting.mp440.06MB

04 Python for Data Science/031 Exercise on Apply Functions.mp465.02MB

04 Python for Data Science/032 Solution on Apply Functions.mp438.53MB

05 Data Exploration/001 Why EDA and how it is useful.mp442.26MB

05 Data Exploration/002 Course curriculum walkthrough.mp454.87MB

05 Data Exploration/003 Data Profiling.mp468.44MB

05 Data Exploration/004 Analyzing Target Data.mp451.18MB

05 Data Exploration/005 Quiz Solution.mp448.06MB

05 Data Exploration/006 Summarizing data.mp438.07MB

05 Data Exploration/007 Exploring the Dabl Library.mp4101.88MB

05 Data Exploration/008 Exploring the Sweetviz Library.mp481.6MB

05 Data Exploration/009 Using Color Gradients for better analysis.mp443.85MB

05 Data Exploration/010 Best Practices for Data Exploration.mp440.04MB

05 Data Exploration/011 Quiz Solution.mp455.89MB

06 Statistics and Probability/001 Why you should learn Statistics and Probability.mp435.1MB

06 Statistics and Probability/002 Walking through the course Content.mp429.42MB

06 Statistics and Probability/003 Applications of Probability in Real Life.mp461.71MB

06 Statistics and Probability/004 Basic Probability.mp474.53MB

06 Statistics and Probability/005 Conditional Probability.mp480.37MB

06 Statistics and Probability/006 Set Theory.mp475.69MB

06 Statistics and Probability/007 Bayes' Theorem.mp458.7MB

06 Statistics and Probability/008 Permutations and Combinations.mp496.85MB

06 Statistics and Probability/009 Quiz Solution.mp485.82MB

06 Statistics and Probability/010 Types of Data.mp471.44MB

06 Statistics and Probability/011 Measures of Central Tendency.mp467.85MB

06 Statistics and Probability/012 Measures of Spread.mp478.96MB

06 Statistics and Probability/013 Measures of Dependence.mp441.44MB

06 Statistics and Probability/014 Quiz Solution.mp464.18MB

06 Statistics and Probability/015 Continuous vs Discrete Distributions.mp436.39MB

06 Statistics and Probability/016 Introduction to Normal Distribution.mp454.99MB

06 Statistics and Probability/017 Concept of Skewness.mp441.08MB

06 Statistics and Probability/018 Using QQ Plots to check Normal Distribution.mp447.49MB

06 Statistics and Probability/019 Quiz Solution.mp459.63MB

06 Statistics and Probability/020 Sample Mean and Population Mean.mp486.22MB

06 Statistics and Probability/021 Central Limit Theorem.mp457.01MB

06 Statistics and Probability/022 Bias and Variance.mp466.24MB

06 Statistics and Probability/023 Maximum Likelihood Estimation.mp472.51MB

06 Statistics and Probability/024 Confidence Intervals.mp4121.32MB

06 Statistics and Probability/025 Quiz Solution.mp470.96MB

07 Hypothesis Testing/001 What is Hypothesis Testing.mp452.32MB

07 Hypothesis Testing/002 Null Hypothesis and Alternate Hypothesis.mp455.33MB

07 Hypothesis Testing/003 Types of Error.mp433.87MB

07 Hypothesis Testing/004 P-Value and Level of Significance.mp475.74MB

07 Hypothesis Testing/005 Quiz Solution.mp452.68MB

07 Hypothesis Testing/006 One Sampled T Test.mp469.4MB

07 Hypothesis Testing/007 Two Sampled T Test.mp440.26MB

07 Hypothesis Testing/008 Paired Sampled T Test.mp444.02MB

07 Hypothesis Testing/009 Quiz Solution.mp444.49MB

07 Hypothesis Testing/010 One Sampled Z Test.mp467.84MB

07 Hypothesis Testing/011 Two Sampled Z Test.mp448.31MB

07 Hypothesis Testing/012 Quiz Solution.mp442.1MB

07 Hypothesis Testing/013 One Sampled ANOVA Test.mp444.3MB

07 Hypothesis Testing/014 Two Sampled ANOVA Test.mp438.79MB

07 Hypothesis Testing/015 Quiz Solution.mp439.45MB

07 Hypothesis Testing/016 Goodness of Fit Test.mp439.15MB

07 Hypothesis Testing/017 Test of Independence.mp431.82MB

07 Hypothesis Testing/018 Quiz Solution.mp438.85MB

08 Data Cleaning/001 Causes and Impact of Missing Values.mp464.26MB

08 Data Cleaning/002 Types of Missing Values.mp461.74MB

08 Data Cleaning/003 When should we delete the missing values.mp479.6MB

08 Data Cleaning/004 Imputing missing values with the business logic.mp473.98MB

08 Data Cleaning/005 Imputing missing values with Mean_Median_Mode.mp455.98MB

08 Data Cleaning/006 Imputing missing values in a real-time scenario.mp482.54MB

08 Data Cleaning/007 Quiz Solution.mp449.16MB

08 Data Cleaning/008 How outliers can be harmful for machine learning models.mp469.06MB

08 Data Cleaning/009 Finding out outliers from the data.mp463.2MB

08 Data Cleaning/010 Using Winsorization to deal with outliers.mp450.53MB

08 Data Cleaning/011 Deleting and Capping the outliers.mp460.78MB

08 Data Cleaning/012 Dealing with outliers in a real-world scenario.mp450.82MB

08 Data Cleaning/013 Quiz Solution.mp456.08MB

08 Data Cleaning/014 Introduction to reindex, set_index, reset_index, and sort_index Functions.mp444.69MB

08 Data Cleaning/015 Introduction to Replace and Drop level Function.mp433.01MB

08 Data Cleaning/016 Introduction to Split and Strip Function.mp437.85MB

08 Data Cleaning/017 Introduction to Stack, and Unstack Functions.mp425.37MB

08 Data Cleaning/018 Introduction to Melt, Explode, and Squeeze Functions.mp441.44MB

08 Data Cleaning/019 Data Cleaning on Big Mart Dataset.mp438.25MB

08 Data Cleaning/020 Data Cleaning on Movie Dataset.mp437.28MB

08 Data Cleaning/021 Data Cleaning on Melbourne Housing Dataset.mp442.13MB

08 Data Cleaning/022 Data Cleaning on Naukri Dataset.mp4106.2MB

09 Data Visualization/001 Univariate Analysis.mp457.04MB

09 Data Visualization/002 Bivariate Analysis.mp444.97MB

09 Data Visualization/003 Multivariate Analysis.mp470.78MB

09 Data Visualization/004 Quiz Solution.mp447.14MB

09 Data Visualization/005 Scatter Plots.mp445.14MB

09 Data Visualization/006 Charts with Colorscale.mp431.79MB

09 Data Visualization/007 Bar, Line, and Area Charts.mp448.51MB

09 Data Visualization/008 Facet Grids.mp437.95MB

09 Data Visualization/009 Statistical Charts.mp438.35MB

09 Data Visualization/010 Polar Charts.mp429.38MB

09 Data Visualization/011 Subplots.mp434.78MB

09 Data Visualization/012 3D Charts.mp424.55MB

09 Data Visualization/013 Waffle Charts.mp429.34MB

09 Data Visualization/014 Maps.mp430.7MB

09 Data Visualization/015 Quiz Solution.mp448.82MB

09 Data Visualization/016 Animation with Bubbleplot.mp447.77MB

09 Data Visualization/017 Animation with Facets.mp426.69MB

09 Data Visualization/018 Animation with Scatter Maps.mp422.64MB

09 Data Visualization/019 Animation with Choropleth Maps.mp430.57MB

09 Data Visualization/020 Quiz Solution.mp434.58MB

09 Data Visualization/021 Introduction to Ipywidgets.mp438.55MB

09 Data Visualization/022 Interactive Univariate Analysis.mp429.9MB

09 Data Visualization/023 Interactive Bivariate Analysis.mp433.85MB

09 Data Visualization/024 Interactive Multivariate Analysis.mp429.16MB

09 Data Visualization/025 Quiz Solution.mp453.84MB

09 Data Visualization/026 Sunburst Charts.mp433.13MB

09 Data Visualization/027 Parallel Co-ordinate Charts.mp422.98MB

09 Data Visualization/028 Funnel Charts.mp439.13MB

09 Data Visualization/029 Gantt Charts.mp425.08MB

09 Data Visualization/030 Ternary Charts.mp420.33MB

09 Data Visualization/031 Tree Maps.mp421.45MB

09 Data Visualization/032 Network Charts.mp439.74MB

09 Data Visualization/033 Quiz Solution.mp438.5MB

10 Query Analysis/001 Aggregate functions used for Grouping.mp451.7MB

10 Query Analysis/002 Using Groupby for Grouping Operations.mp427.15MB

10 Query Analysis/003 Groupby with Idxmax and Idxmin functions.mp425.92MB

10 Query Analysis/004 Using Color scales for better visualization.mp423.48MB

10 Query Analysis/005 Visualizing the Groupby Operations.mp428.72MB

10 Query Analysis/006 Using Pivot Tables for Grouping Operations.mp430.63MB

10 Query Analysis/007 Difference between Groupby and Pivot tables.mp424.43MB

10 Query Analysis/008 Performing Cross Tabulation.mp438.52MB

10 Query Analysis/009 Visualizing Cross tabulated Data.mp422.78MB

10 Query Analysis/010 Interactive Grouping Operations.mp435.71MB

10 Query Analysis/011 Quiz Solution.mp454.56MB

10 Query Analysis/012 When to perform Filtering Operations.mp438.4MB

10 Query Analysis/013 Introduction to Simple Filtering Operations.mp422.07MB

10 Query Analysis/014 Advanced Filtering Operations.mp435.68MB

10 Query Analysis/015 Filtering and Grouping Operations.mp421.78MB

10 Query Analysis/016 Interactive Filtering Operations.mp420.84MB

10 Query Analysis/017 Quiz Solution.mp446.03MB

11 Startups Case Study and Analysis/001 Understanding the Problem Statement.mp450.26MB

11 Startups Case Study and Analysis/002 Setting up the Environment.mp421.28MB

11 Startups Case Study and Analysis/003 Data Cleaning.mp452.91MB

11 Startups Case Study and Analysis/004 Querying the data using Visualizations Part - 1.mp432.52MB

11 Startups Case Study and Analysis/005 Querying the data using Visualizations Part - 2.mp432.59MB

11 Startups Case Study and Analysis/006 Major learning from the Project.mp430.95MB

12 Movie Recommender Systems/001 Setting up the Environment.mp445.42MB

12 Movie Recommender Systems/002 Taking a Deep Dive into the Dataset.mp448.52MB

12 Movie Recommender Systems/003 Understanding the Problem Statement.mp430.68MB

12 Movie Recommender Systems/004 Missing Values Imputation.mp451.85MB

12 Movie Recommender Systems/005 Top 10 Profitable Movies.mp450.09MB

12 Movie Recommender Systems/006 Manipulating the Duration and Language Column.mp451.36MB

12 Movie Recommender Systems/007 Extracting the Movie Genres.mp449.77MB

12 Movie Recommender Systems/008 Top 10 Most Popular Movies on Social Media.mp432.65MB

12 Movie Recommender Systems/009 Analyzing Which Genre is Most Bankable_.mp438.41MB

12 Movie Recommender Systems/010 Loss and Profit Analysis on English and Foreign Movies.mp442.21MB

12 Movie Recommender Systems/011 Gross Comparison of Long and Short Movies.mp446.19MB

12 Movie Recommender Systems/012 Association between IMDB Rating and Duration.mp447.33MB

12 Movie Recommender Systems/013 Comparing Critically acclaimed Actors.mp460.59MB

12 Movie Recommender Systems/014 Top Movies based on Gross, and IMDB.mp433.48MB

12 Movie Recommender Systems/015 Recommending Movies based on Languages and Actors.mp446.71MB

12 Movie Recommender Systems/016 Recommending Similar Genres and Movies.mp468.32MB

12 Movie Recommender Systems/017 Key Takeaways from this Project.mp433.41MB

13 Players Performance Analysis/001 Understanding the problem statement.mp453MB

13 Players Performance Analysis/002 Setting up the Environment.mp434.22MB

13 Players Performance Analysis/003 Data Cleaning.mp474.3MB

13 Players Performance Analysis/004 Feature Engineering.mp447.68MB

13 Players Performance Analysis/005 Data Visualization.mp477.87MB

13 Players Performance Analysis/006 Query Analysis.mp451.81MB

13 Players Performance Analysis/007 Major Learnings from the project.mp438.87MB

14 Outro Section/001 Conclusion.mp449.18MB