2.77 GB | 00:08:58 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Course Overview.mp4 (3.97 MB)
01 Module Overview.mp4 (2.13 MB)
02 Prerequisites and Course Outline.mp4 (1.81 MB)
03 Python for Data Analytics.mp4 (8.63 MB)
04 Python Development Environments.mp4 (7.03 MB)
05 Python Packages.mp4 (6.37 MB)
06 Demo - Windows - Installing Python and Using Pip to Install Packages.mp4 (8.27 MB)
07 Demo - MacOS - Using Brew to Install Python 3.mp4 (9.3 MB)
08 Demo - MacOS - Using Pip to Install Packages.mp4 (7.68 MB)
09 Demo - Installing and Working with Virtual Environments.mp4 (7.27 MB)
10 Demo - Editing a Python Script Using Nano and Vim.mp4 (5.4 MB)
11 Demo - Editing a Python Script Using SublimeText.mp4 (6.71 MB)
12 Demo - Using Online Editors to Write Python Code.mp4 (7.02 MB)
13 Module Summary.mp4 (2.34 MB)
01 Module Overview.mp4 (2.08 MB)
02 Introducing Jupyter Notebooks.mp4 (5.12 MB)
03 Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4 (6.71 MB)
04 Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 (13.24 MB)
05 Demo - Installing the Python 2 Kernel along with Python 3.mp4 (8.53 MB)
06 Demo - Executing Code in Jupyter.mp4 (6.6 MB)
07 Demo - Restarting and Switching Kernels.mp4 (9.62 MB)
08 Demo - Exploring Magic Commands.mp4 (9.75 MB)
09 Demo - Line Magic and Cell Magic Commands.mp4 (8.13 MB)
10 Demo - Exploring Interactive Widgets.mp4 (8.76 MB)
11 Demo - Wrangling and Visualizing Data.mp4 (10.37 MB)
12 Module Summary.mp4 (2.2 MB)
01 Module Overview.mp4 (2.65 MB)
02 Exploring Popular IDEs for Python.mp4 (3.73 MB)
03 Demo - Installing and Setting up IDLE.mp4 (11.24 MB)
04 Demo - Running and Debugging Code with IDLE.mp4 (15.68 MB)
05 Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4 (13.34 MB)
06 Demo - Running and Debugging Code with Eclipse.mp4 (18.37 MB)
07 Demo - Installing and Setting up PyCharm.mp4 (11.39 MB)
08 Demo - Running and Debugging Code with PyCharm.mp4 (18.44 MB)
09 Demo - Working with Spyder.mp4 (18.3 MB)
10 Module Summary.mp4 (2.03 MB)
1 Module Overview.mp4 (2.41 MB)
2 Jupyter on the Cloud.mp4 (5.61 MB)
3 Demo - Getting Started with Azure Notebooks.mp4 (9.26 MB)
4 Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4 (17.9 MB)
5 Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4 (14.51 MB)
6 Demo - Building a Simple Regression Model on Datalab.mp4 (11.84 MB)
7 Demo - Setting up a SageMaker Notebook Instance on AWS.mp4 (10.97 MB)
8 Demo - Executing Code to Integrate with S3 Buckets.mp4 (11.99 MB)
9 Summary and Further Study.mp4 (2.5 MB)
1 Course Overview.mp4 (3.31 MB)
01 Module Overview.mp4 (1.79 MB)
02 Prerequisites and Course Outline.mp4 (1.65 MB)
03 Python for Data Analysts.mp4 (4.5 MB)
04 Essential Analytical Building Blocks.mp4 (7.42 MB)
05 Demo - Installing Anaconda Python on MacOS.mp4 (9.09 MB)
06 Demo - Installing Anaconda Python on Windows.mp4 (8.91 MB)
07 Demo - Simple Expressions.mp4 (11 MB)
08 Demo - Logical Operations.mp4 (8.47 MB)
09 Demo - Variables.mp4 (9.89 MB)
10 Demo - Basic Types and Type Conversions.mp4 (7.52 MB)
11 Demo - Simple Strings and Multi-line Strings.mp4 (6.51 MB)
12 Module Summary.mp4 (1.8 MB)
1 Module Overview.mp4 (2.03 MB)
2 Demo - Introducing Built-in Functions.mp4 (11.45 MB)
3 Demo - String Functions, Return Values, and Nested Function Invocations.mp4 (10.92 MB)
4 Demo - Introducing Lists.mp4 (8.94 MB)
5 Demo - List Slicing Operations and List Functions.mp4 (7.78 MB)
6 Demo - Concatenating and Copying Lists.mp4 (4.44 MB)
7 Demo - Introducing Tuples.mp4 (7.36 MB)
8 Demo - Introducing Dictionaries.mp4 (10.24 MB)
9 Module Summary.mp4 (2.01 MB)
01 Module Overview.mp4 (2.07 MB)
02 Transactional and Analytical Processing.mp4 (8.03 MB)
03 Demo - If Statements for Conditional Branching.mp4 (7.95 MB)
04 Demo - If Else Statements.mp4 (12 MB)
05 Demo - Using if with Lists and Dictionary Elements.mp4 (5.29 MB)
06 Demo - If-elif for Multiple Conditional Checks.mp4 (6.35 MB)
07 Demo - Iterating over List Elements Using a For Loop.mp4 (8.11 MB)
08 Demo - Using For Loops with the Range Function.mp4 (5.24 MB)
09 Demo - Iterating over Dictionary Elements Using a For Loop.mp4 (3.94 MB)
10 Demo - Conditional Looping Using While Loops.mp4 (14.14 MB)
11 Demo - Break.mp4 (7.56 MB)
12 Demo - Continue and Pass.mp4 (7.29 MB)
13 Module Summary.mp4 (1.89 MB)
01 Module Overview.mp4 (2.21 MB)
02 Demo - Defining and Invoking Custom Functions.mp4 (12.81 MB)
03 Demo - Passing Input Arguments to Functions.mp4 (5.47 MB)
04 Demo - Returning Values from Functions.mp4 (9.76 MB)
05 Demo - Reassignment of Variables within Functions.mp4 (13.05 MB)
06 Demo - Modification of Complex Types within Functions.mp4 (6.78 MB)
07 Demo - Invoking Functions with Keyword Arguments.mp4 (10.57 MB)
08 Demo - Assigning Default Values for Input Arguments.mp4 (5.5 MB)
09 Demo - First Class Functions.mp4 (12.12 MB)
10 Module Summary.mp4 (1.99 MB)
1 Module Overview.mp4 (1.91 MB)
2 Demo - Working with the Math Module.mp4 (5.22 MB)
3 Demo - Introducing NumPy.mp4 (7.92 MB)
4 Demo - Introducing Pandas.mp4 (4.48 MB)
5 Demo - Working with the Command Line Processes and Environment Variables.mp4 (16.28 MB)
6 Demo - Reading the Contents of a File.mp4 (8.78 MB)
7 Demo - Overwriting and Appending Content to a File.mp4 (9.98 MB)
8 Demo - Working with CSV and JSON Files.mp4 (8.35 MB)
9 Module Summary.mp4 (2.48 MB)
1 Course Overview.mp4 (4.3 MB)
1 Programming Python Using an IDE! But Why And Which One.mp4 (18.67 MB)
2 Code Editors vs Integrated Development Environments.mp4 (3.36 MB)
3 Overview of Available Code Editors for Python.mp4 (28.95 MB)
4 Configuring Python Features for Specific Code Editors.mp4 (29.73 MB)
5 Takeaway.mp4 (2.7 MB)
1 Improving Your Productivity Programming in Python with an IDE.mp4 (21.35 MB)
2 Customizing IDEs.mp4 (22.75 MB)
3 Features That Improve Productivity Coding with an IDE.mp4 (19.65 MB)
4 Organizing, Navigating, Refactoring, and Styling Code.mp4 (31.56 MB)
5 Running and Debugging Python Code with an IDE.mp4 (26.3 MB)
6 Integrating with Version Control Using an IDE.mp4 (25.84 MB)
7 Working with Databases in Python Using an IDE.mp4 (7.93 MB)
8 Unit Testing with an IDE.mp4 (7.59 MB)
9 Takeaway.mp4 (3.76 MB)
1 Leveraging a Python IDE for Data Science.mp4 (4.24 MB)
2 Leveraging Data Science and Scientific Tools in PyCharm.mp4 (5.38 MB)
3 Working with an IDE Built for Scientific Python - Spyder.mp4 (4.86 MB)
4 Using Jupyter Notebook for Data Science.mp4 (8.06 MB)
5 Using Apache Zeppelin for Data Science.mp4 (4.84 MB)
6 Cloudera Data Science Workbench for Data Science at Scale.mp4 (10.29 MB)
7 Takeaway.mp4 (1.68 MB)
1 Final Takeaway.mp4 (3.04 MB)
1 Course Overview.mp4 (4.55 MB)
01 Module Overview.mp4 (2.18 MB)
02 Prerequisites and Course Outline.mp4 (1.98 MB)
03 Introducing Jupyter Notebooks.mp4 (8.89 MB)
04 Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4 (11.95 MB)
05 Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4 (10.76 MB)
06 Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4 (14.8 MB)
08 Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 (9.73 MB)
09 Demo - MacOS - Installing Jupyter Lab Using Pip.mp4 (12.84 MB)
10 Module Summary.mp4 (1.99 MB)
1 Module Overview.mp4 (2.08 MB)
2 Demo - Exploring the Notebook Interface.mp4 (12.16 MB)
3 Demo - Restarting the Kernel.mp4 (8.91 MB)
4 Demo - Customizing Shortcuts.mp4 (9.51 MB)
5 Demo - Notebook Limits and Shutting down Kernels.mp4 (9.27 MB)
6 Demo - Using Python 2 and Python 3 Kernels.mp4 (10.34 MB)
7 Demo - Using R and Python 3 Kernels.mp4 (5.42 MB)
8 Demo - Exploring Line and Cell Magic Commands.mp4 (15.62 MB)
9 Module Summary.mp4 (2.17 MB)
1 Module Overview.mp4 (2.15 MB)
2 Demo - Analyzing and Visualizing Data.mp4 (14.82 MB)
3 Demo - Exploring Interactive Widgets.mp4 (14.77 MB)
4 Demo - Adding Interactivity to Custom Functions.mp4 (14.2 MB)
5 Demo - Save, Checkpoint, and Export Notebooks.mp4 (4.1 MB)
6 Demo - Share Notebooks on Github.mp4 (14.86 MB)
7 Module Summary.mp4 (2.28 MB)
1 Module Overview.mp4 (3.17 MB)
2 Running Hosted Jupyter Notebooks on the Cloud.mp4 (5.95 MB)
5 Demo - Exploring and Working with Azure Notebooks.mp4 (9.94 MB)
6 Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 (10.89 MB)
7 Demo - Uploading Files and Running Code on GCP.mp4 (7.79 MB)
8 Summary and Further Study.mp4 (2.38 MB)
1 Course Overview.mp4 (4.36 MB)
1 Importing Text Data into Python Using NumPy.mp4 (15.31 MB)
2 Importing Flat Files and Numeric Data Using NumPy.mp4 (17 MB)
1 Importing CSV Data into Python Using csv and pandas.mp4 (1.54 MB)
2 Importing CSV Files Using the Python csv Module.mp4 (17.37 MB)
3 Importing Text and CSV Files Using pandas.mp4 (36.17 MB)
1 Importing Data into Python from JSON and XML Files.mp4 (2.62 MB)
2 Importing Data into Python from JSON Using the JSON Library.mp4 (39.38 MB)
3 Importing Data into Python from XML Using the ElementTree XML API.mp4 (17.7 MB)
1 Importing Data into Python from Excel Files.mp4 (1.8 MB)
2 Importing Excel Files Using pandas.mp4 (22.44 MB)
2 Reading SAS Files with pandas.mp4 (6.64 MB)
3 Reading Stata Files with pandas.mp4 (5.16 MB)
4 Reading HDF5 Files.mp4 (6.54 MB)
5 Reading Matlab Files.mp4 (3.09 MB)
6 Reading Pickle Files.mp4 (7.09 MB)
1 Importing Data into Python from Relational Databases.mp4 (1.77 MB)
2 Importing sqlite Database Files.mp4 (8.64 MB)
3 Taking Advantage of pandas DataFrames When Querying sqlite.mp4 (3.41 MB)
4 Working with Databases Using SQLAlchemy.mp4 (8.11 MB)
5 Importing Data from Relational Databases with pandas (MySQL).mp4 (8.52 MB)
6 Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 (3.77 MB)
7 Importing Relational Data.mp4 (4.68 MB)
1 Course Overview.mp4 (3.14 MB)
1 Course and Module Introduction.mp4 (2.73 MB)
2 Software and Course Prerequisites.mp4 (2.03 MB)
3 Concatenating Datasets.mp4 (11.55 MB)
4 Merging Datasets.mp4 (6.99 MB)
5 Merge Keys.mp4 (4.93 MB)
6 The How Parameter.mp4 (5.23 MB)
7 Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 (3.29 MB)
8 Summary.mp4 (2.28 MB)
1 Module Introduction.mp4 (1.16 MB)
2 The GroupBy Function.mp4 (3.28 MB)
3 Demo - Why and How to Use the GroupBy Function.mp4 (8.62 MB)
4 Filter and Transform with GroupBy.mp4 (5.47 MB)
5 Demo - Grouping Multi-index Data.mp4 (4.42 MB)
1 Module Introduction.mp4 (1.69 MB)
2 Normalizing Data - What and Why.mp4 (3.13 MB)
3 Simple Feature Scaling.mp4 (3.48 MB)
4 Min-max Scaling.mp4 (3.44 MB)
5 Z-score Normalization.mp4 (3.56 MB)
6 Points to Consider for Data Normalization and Summary.mp4 (3.6 MB)
1 Module Introduction.mp4 (1.36 MB)
2 Introduction to Data Reshaping.mp4 (3.7 MB)
3 Reshape Long Data to Wide Data with the Pivot Function.mp4 (6.1 MB)
4 Reshape Wide Data to Long Using the Melt Function.mp4 (3.58 MB)
5 Reshape Data Using the Stack and Unstack Functions.mp4 (4.15 MB)
6 Reshaping and Aggregation with Pivot Table.mp4 (3.47 MB)
7 Summary.mp4 (1020.86 KB)
1 Module Introduction.mp4 (1.59 MB)
2 One-hot Encoding.mp4 (3.74 MB)
3 Demo - Convert Categorical Values Using One-hot Encoding.mp4 (6.14 MB)
4 Create Dummy Variables with Pandas.mp4 (4.87 MB)
5 Create Frequency Table with the Crosstab Function.mp4 (7.88 MB)
6 Summary and Feedback.mp4 (1.8 MB)
1 Course Overview.mp4 (4.22 MB)
1 Introduction.mp4 (3.55 MB)
2 Viewing and Converting Types.mp4 (9.94 MB)
3 Aggregating Data.mp4 (8.8 MB)
4 Normalizing Data.mp4 (8.05 MB)
5 Transforming Data.mp4 (8.25 MB)
6 Filtering Data.mp4 (7.01 MB)
7 Review.mp4 (1.98 MB)
1 Introduction.mp4 (2.67 MB)
2 Dropping Columns.mp4 (11.1 MB)
3 Changing Column Casing.mp4 (5.87 MB)
4 Renaming Columns.mp4 (10.31 MB)
5 Review.mp4 (2.23 MB)
1 Introduction.mp4 (1.56 MB)
2 Direct Filtering with Square Brackets.mp4 (9.27 MB)
3 Data Indexing with loc.mp4 (8.56 MB)
4 Using iloc to Access Specific Rows or Columns.mp4 (9.93 MB)
5 Filtering Data with str contains.mp4 (12.59 MB)
6 Review.mp4 (2.54 MB)
1 Introduction.mp4 (2.21 MB)
2 Stripping White Space.mp4 (6.06 MB)
3 Replacing Bad Data with NaN.mp4 (13.03 MB)
4 Filling Missing Data with a Value.mp4 (5.39 MB)
5 Dropping Rows of Data.mp4 (9.34 MB)
6 Identifying and Dropping Duplicate Data.mp4 (15.06 MB)
7 Review.mp4 (2.99 MB)
1 Course Overview.mp4 (4.16 MB)
1 Overview.mp4 (2.18 MB)
2 Introducing Pygal.mp4 (5.06 MB)
3 Vector and Raster Images.mp4 (7.75 MB)
4 The SVG Format.mp4 (4.46 MB)
5 Install Pygal.mp4 (8.33 MB)
6 Interacting with Pygal Charts.mp4 (11.28 MB)
7 Plot Data from a CSV File.mp4 (12.01 MB)
8 Stacked Bar Charts.mp4 (7.56 MB)
01 Overview.mp4 (2.08 MB)
02 Construct a Basic Pie Chart.mp4 (11.85 MB)
03 Donut and Half Pie Charts.mp4 (8.88 MB)
04 Chart, Serie, and Value Configurations.mp4 (11.23 MB)
05 Defining Styles and Configs.mp4 (10.69 MB)
06 Introducing Line and Datetimeline Charts.mp4 (10.17 MB)
07 Plotting Real Data with Line and Dateline Charts.mp4 (9.38 MB)
08 Introducing XY Plots.mp4 (6.83 MB)
09 Exploring Real Data with XY Plots.mp4 (12.79 MB)
10 Summary.mp4 (1020.47 KB)
01 Overview.mp4 (923.28 KB)
02 Plotting Histograms.mp4 (7.08 MB)
03 Pyramid Charts.mp4 (8.36 MB)
04 Visualizing Distributions with Box Plots.mp4 (11.41 MB)
05 Constructing a Map Visualization.mp4 (12.78 MB)
06 Generating Radar Plots.mp4 (13.12 MB)
07 Constructing a Funnel Visualization.mp4 (7.92 MB)
08 Creating Gauge Plots.mp4 (10.19 MB)
09 Solid Gauge Plots.mp4 (7.01 MB)
10 Constructing a Dot Plot.mp4 (12.8 MB)
11 Representing Negative Values in a Dot Plot.mp4 (4.28 MB)
12 Building a Treemap Visualization.mp4 (11.25 MB)
13 Summary.mp4 (730.05 KB)
1 Overview.mp4 (1.24 MB)
2 Rendering Charts to Image Files.mp4 (15.55 MB)
3 Rendering Charts to Specialized Formats.mp4 (15.77 MB)
4 PyQuery and Pygal.mp4 (12.83 MB)
5 Building Sparklines.mp4 (5.41 MB)
6 Building a Flask App to Render Pygal Charts.mp4 (10.55 MB)
7 Testing the Flask App.mp4 (3.33 MB)
8 Summary.mp4 (2.19 MB)
1 Course Overview.mp4 (3.47 MB)
1 Up and Running with SQLAlchemy.mp4 (3.81 MB)
2 Installing and Importing SQLAlchemy.mp4 (5.83 MB)
3 Loading Data Using SQLAlchemy.mp4 (6.59 MB)
4 Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 (4.21 MB)
5 Visualizing and Graphing Data with Matplotlib.mp4 (5.42 MB)
6 Takeaway.mp4 (1.4 MB)
01 Querying with SQLAlchemy.mp4 (1.6 MB)
02 Picking a Database.mp4 (5.44 MB)
03 Connecting to Databases - Connectors and the Connection String.mp4 (5.92 MB)
04 Querying with SQL.mp4 (2.17 MB)
05 Object-relational Mapper (ORM) and Classical Mapping.mp4 (5.59 MB)
06 The Declarative API.mp4 (10.92 MB)
07 More Querying and Database Functions.mp4 (11.98 MB)
08 Using Joins.mp4 (2.06 MB)
09 Working with Hierarchical Tables.mp4 (3.39 MB)
10 Takeaway.mp4 (1.92 MB)
1 Creating Databases with SQLAlchemy.mp4 (1.46 MB)
2 Creating Databases.mp4 (3.22 MB)
3 Creating Tables.mp4 (4.92 MB)
4 Primary Keys, Constraints, and Data Defaults.mp4 (9.35 MB)
5 Inserting Data - Single and Multiple Rows.mp4 (6.14 MB)
6 Loading a CSV into a Table.mp4 (2.76 MB)
7 Takeaway.mp4 (1.35 MB)
1 Manipulating Databases with SQLAlchemy.mp4 (1.2 MB)
2 Updating Data in a Database.mp4 (6.6 MB)
3 Correlated Updates.mp4 (1.73 MB)
4 Deleting Data from a Database.mp4 (3.41 MB)
5 Deleting Tables.mp4 (1.97 MB)
6 Takeaway.mp4 (1.42 MB)
1 Final Takeaway.mp4 (2.85 MB)
1 Course Overview.mp4 (3.88 MB)
1 General Strategies for Scraping Web Pages.mp4 (3.42 MB)
2 Reviewing Our Target Auto-MPG Web Page.mp4 (11.63 MB)
3 The Complicated Difference between Dynamic and Static Web Pages.mp4 (6.01 MB)
01 A Primer on HTML and CSS.mp4 (4.84 MB)
02 Understanding the HTML, CSS and Structure of Our Target Page.mp4 (12.68 MB)
03 Coming up with a Strategy for a More Complicated Web Page.mp4 (8.09 MB)
04 Using BeautifulSoup4 to Navigate Our Scraped Data.mp4 (15.59 MB)
05 Extracting Information from a Scraped Division.mp4 (9.15 MB)
06 Using Selectors as an Alternative to the Find Method.mp4 (6.1 MB)
07 Advice and Strategy for Scraping.mp4 (2.01 MB)
08 Building the Scraper Module Using PyCharm.mp4 (14.68 MB)
09 Dealing with Missing Data during the Scrape.mp4 (9.31 MB)
10 Refactoring Our Code and Caching Our Scraped Data.mp4 (9.81 MB)
11 Adding a Test to Verify Our Regular Expression Processing.mp4 (14.02 MB)
1 Exporting Scraped Data to a CSV File.mp4 (7.79 MB)
2 Getting a Data Overview with Pandas.mp4 (6.35 MB)
3 Exploratory Data Analysis Strategy.mp4 (8.29 MB)
4 Reviewing Our Hypothesis.mp4 (6.35 MB)
5 Investigating Relationships between MPG and Weight.mp4 (7.4 MB)
6 Understanding How Cylinders and Displacement Are Related.mp4 (3.66 MB)
7 Looking at MPG over the Years.mp4 (3.68 MB)
8 Understanding Brands and Territories with Text Processing.mp4 (4 MB)
9 Telling a Data Story to Explain Our Discoveries.mp4 (6.22 MB)
1 Course Overview.mp4 (3.69 MB)
01 Version Check.mp4 (569.97 KB)
02 Module Overview.mp4 (1.82 MB)
03 Prerequisites and Course Outline.mp4 (1.69 MB)
04 Python for Data Analysts.mp4 (9.43 MB)
05 Python Resources for Analysts.mp4 (6.77 MB)
06 Demo - Exploring Online Resources.mp4 (24.22 MB)
07 Workflows in Data Analytics.mp4 (7.5 MB)
08 Demo - Cleaning Data.mp4 (11.14 MB)
09 Demo - Summary Statistics and Basic Analysis.mp4 (4.94 MB)
10 Demo - Visualizing Relationships in Data.mp4 (9.62 MB)
11 Demo - Sharing Visualizations Online Using Plotly.mp4 (12.55 MB)
12 Demo - Prototyping a Classifier.mp4 (5.56 MB)
13 Demo - Writing a Python Script for a Classification Model.mp4 (15.2 MB)
14 Module Summary.mp4 (1.8 MB)
01 Module Overview.mp4 (1.99 MB)
02 Introducing Big ML.mp4 (3.89 MB)
03 Demo - Getting Started with Big ML.mp4 (3.39 MB)
05 Demo - Data Preparation and Visualization.mp4 (15.17 MB)
06 Demo - Splitting into Training and Test Subsets.mp4 (4.91 MB)
07 Demo - Building Models.mp4 (12.31 MB)
08 Demo - Evaluating Models.mp4 (4.54 MB)
09 Demo - Batch and Individual Predictions.mp4 (14.15 MB)
10 Demo - Clustering.mp4 (11.78 MB)
11 Demo - Anomaly Detection.mp4 (7.97 MB)
12 Module Summary.mp4 (2.01 MB)
01 Module Overview.mp4 (2.04 MB)
02 Introducing Google Colab.mp4 (2.8 MB)
03 Demo - Introducing the Google Colab Interface.mp4 (8.62 MB)
04 Demo - Colab Notebooks-Similar yet Different.mp4 (4.46 MB)
05 Demo - Interactive Forms.mp4 (9.61 MB)
06 Demo - Accessing Google Drive Contents from Colab.mp4 (4.96 MB)
07 Demo - Widgets.mp4 (10.59 MB)
08 Demo - Building a Regression Model.mp4 (11.7 MB)
09 Demo - Integrating with Github.mp4 (5.88 MB)
10 Summary and Further Study.mp4 (2.35 MB)
01 Module Overview.mp4 (2.13 MB)
02 Prerequisites and Course Outline.mp4 (1.81 MB)
03 Python for Data Analytics.mp4 (8.63 MB)
04 Python Development Environments.mp4 (7.03 MB)
05 Python Packages.mp4 (6.37 MB)
06 Demo - Windows - Installing Python and Using Pip to Install Packages.mp4 (8.27 MB)
07 Demo - MacOS - Using Brew to Install Python 3.mp4 (9.3 MB)
08 Demo - MacOS - Using Pip to Install Packages.mp4 (7.68 MB)
09 Demo - Installing and Working with Virtual Environments.mp4 (7.27 MB)
10 Demo - Editing a Python Script Using Nano and Vim.mp4 (5.4 MB)
11 Demo - Editing a Python Script Using SublimeText.mp4 (6.71 MB)
12 Demo - Using Online Editors to Write Python Code.mp4 (7.02 MB)
13 Module Summary.mp4 (2.34 MB)
01 Module Overview.mp4 (2.08 MB)
02 Introducing Jupyter Notebooks.mp4 (5.12 MB)
03 Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4 (6.71 MB)
04 Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 (13.24 MB)
05 Demo - Installing the Python 2 Kernel along with Python 3.mp4 (8.53 MB)
06 Demo - Executing Code in Jupyter.mp4 (6.6 MB)
07 Demo - Restarting and Switching Kernels.mp4 (9.62 MB)
08 Demo - Exploring Magic Commands.mp4 (9.75 MB)
09 Demo - Line Magic and Cell Magic Commands.mp4 (8.13 MB)
10 Demo - Exploring Interactive Widgets.mp4 (8.76 MB)
11 Demo - Wrangling and Visualizing Data.mp4 (10.37 MB)
12 Module Summary.mp4 (2.2 MB)
01 Module Overview.mp4 (2.65 MB)
02 Exploring Popular IDEs for Python.mp4 (3.73 MB)
03 Demo - Installing and Setting up IDLE.mp4 (11.24 MB)
04 Demo - Running and Debugging Code with IDLE.mp4 (15.68 MB)
05 Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4 (13.34 MB)
06 Demo - Running and Debugging Code with Eclipse.mp4 (18.37 MB)
07 Demo - Installing and Setting up PyCharm.mp4 (11.39 MB)
08 Demo - Running and Debugging Code with PyCharm.mp4 (18.44 MB)
09 Demo - Working with Spyder.mp4 (18.3 MB)
10 Module Summary.mp4 (2.03 MB)
1 Module Overview.mp4 (2.41 MB)
2 Jupyter on the Cloud.mp4 (5.61 MB)
3 Demo - Getting Started with Azure Notebooks.mp4 (9.26 MB)
4 Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4 (17.9 MB)
5 Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4 (14.51 MB)
6 Demo - Building a Simple Regression Model on Datalab.mp4 (11.84 MB)
7 Demo - Setting up a SageMaker Notebook Instance on AWS.mp4 (10.97 MB)
8 Demo - Executing Code to Integrate with S3 Buckets.mp4 (11.99 MB)
9 Summary and Further Study.mp4 (2.5 MB)
1 Course Overview.mp4 (3.31 MB)
01 Module Overview.mp4 (1.79 MB)
02 Prerequisites and Course Outline.mp4 (1.65 MB)
03 Python for Data Analysts.mp4 (4.5 MB)
04 Essential Analytical Building Blocks.mp4 (7.42 MB)
05 Demo - Installing Anaconda Python on MacOS.mp4 (9.09 MB)
06 Demo - Installing Anaconda Python on Windows.mp4 (8.91 MB)
07 Demo - Simple Expressions.mp4 (11 MB)
08 Demo - Logical Operations.mp4 (8.47 MB)
09 Demo - Variables.mp4 (9.89 MB)
10 Demo - Basic Types and Type Conversions.mp4 (7.52 MB)
11 Demo - Simple Strings and Multi-line Strings.mp4 (6.51 MB)
12 Module Summary.mp4 (1.8 MB)
1 Module Overview.mp4 (2.03 MB)
2 Demo - Introducing Built-in Functions.mp4 (11.45 MB)
3 Demo - String Functions, Return Values, and Nested Function Invocations.mp4 (10.92 MB)
4 Demo - Introducing Lists.mp4 (8.94 MB)
5 Demo - List Slicing Operations and List Functions.mp4 (7.78 MB)
6 Demo - Concatenating and Copying Lists.mp4 (4.44 MB)
7 Demo - Introducing Tuples.mp4 (7.36 MB)
8 Demo - Introducing Dictionaries.mp4 (10.24 MB)
9 Module Summary.mp4 (2.01 MB)
01 Module Overview.mp4 (2.07 MB)
02 Transactional and Analytical Processing.mp4 (8.03 MB)
03 Demo - If Statements for Conditional Branching.mp4 (7.95 MB)
04 Demo - If Else Statements.mp4 (12 MB)
05 Demo - Using if with Lists and Dictionary Elements.mp4 (5.29 MB)
06 Demo - If-elif for Multiple Conditional Checks.mp4 (6.35 MB)
07 Demo - Iterating over List Elements Using a For Loop.mp4 (8.11 MB)
08 Demo - Using For Loops with the Range Function.mp4 (5.24 MB)
09 Demo - Iterating over Dictionary Elements Using a For Loop.mp4 (3.94 MB)
10 Demo - Conditional Looping Using While Loops.mp4 (14.14 MB)
11 Demo - Break.mp4 (7.56 MB)
12 Demo - Continue and Pass.mp4 (7.29 MB)
13 Module Summary.mp4 (1.89 MB)
01 Module Overview.mp4 (2.21 MB)
02 Demo - Defining and Invoking Custom Functions.mp4 (12.81 MB)
03 Demo - Passing Input Arguments to Functions.mp4 (5.47 MB)
04 Demo - Returning Values from Functions.mp4 (9.76 MB)
05 Demo - Reassignment of Variables within Functions.mp4 (13.05 MB)
06 Demo - Modification of Complex Types within Functions.mp4 (6.78 MB)
07 Demo - Invoking Functions with Keyword Arguments.mp4 (10.57 MB)
08 Demo - Assigning Default Values for Input Arguments.mp4 (5.5 MB)
09 Demo - First Class Functions.mp4 (12.12 MB)
10 Module Summary.mp4 (1.99 MB)
1 Module Overview.mp4 (1.91 MB)
2 Demo - Working with the Math Module.mp4 (5.22 MB)
3 Demo - Introducing NumPy.mp4 (7.92 MB)
4 Demo - Introducing Pandas.mp4 (4.48 MB)
5 Demo - Working with the Command Line Processes and Environment Variables.mp4 (16.28 MB)
6 Demo - Reading the Contents of a File.mp4 (8.78 MB)
7 Demo - Overwriting and Appending Content to a File.mp4 (9.98 MB)
8 Demo - Working with CSV and JSON Files.mp4 (8.35 MB)
9 Module Summary.mp4 (2.48 MB)
1 Course Overview.mp4 (4.3 MB)
1 Programming Python Using an IDE! But Why And Which One.mp4 (18.67 MB)
2 Code Editors vs Integrated Development Environments.mp4 (3.36 MB)
3 Overview of Available Code Editors for Python.mp4 (28.95 MB)
4 Configuring Python Features for Specific Code Editors.mp4 (29.73 MB)
5 Takeaway.mp4 (2.7 MB)
1 Improving Your Productivity Programming in Python with an IDE.mp4 (21.35 MB)
2 Customizing IDEs.mp4 (22.75 MB)
3 Features That Improve Productivity Coding with an IDE.mp4 (19.65 MB)
4 Organizing, Navigating, Refactoring, and Styling Code.mp4 (31.56 MB)
5 Running and Debugging Python Code with an IDE.mp4 (26.3 MB)
6 Integrating with Version Control Using an IDE.mp4 (25.84 MB)
7 Working with Databases in Python Using an IDE.mp4 (7.93 MB)
8 Unit Testing with an IDE.mp4 (7.59 MB)
9 Takeaway.mp4 (3.76 MB)
1 Leveraging a Python IDE for Data Science.mp4 (4.24 MB)
2 Leveraging Data Science and Scientific Tools in PyCharm.mp4 (5.38 MB)
3 Working with an IDE Built for Scientific Python - Spyder.mp4 (4.86 MB)
4 Using Jupyter Notebook for Data Science.mp4 (8.06 MB)
5 Using Apache Zeppelin for Data Science.mp4 (4.84 MB)
6 Cloudera Data Science Workbench for Data Science at Scale.mp4 (10.29 MB)
7 Takeaway.mp4 (1.68 MB)
1 Final Takeaway.mp4 (3.04 MB)
1 Course Overview.mp4 (4.55 MB)
01 Module Overview.mp4 (2.18 MB)
02 Prerequisites and Course Outline.mp4 (1.98 MB)
03 Introducing Jupyter Notebooks.mp4 (8.89 MB)
04 Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4 (11.95 MB)
05 Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4 (10.76 MB)
06 Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4 (14.8 MB)
08 Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 (9.73 MB)
09 Demo - MacOS - Installing Jupyter Lab Using Pip.mp4 (12.84 MB)
10 Module Summary.mp4 (1.99 MB)
1 Module Overview.mp4 (2.08 MB)
2 Demo - Exploring the Notebook Interface.mp4 (12.16 MB)
3 Demo - Restarting the Kernel.mp4 (8.91 MB)
4 Demo - Customizing Shortcuts.mp4 (9.51 MB)
5 Demo - Notebook Limits and Shutting down Kernels.mp4 (9.27 MB)
6 Demo - Using Python 2 and Python 3 Kernels.mp4 (10.34 MB)
7 Demo - Using R and Python 3 Kernels.mp4 (5.42 MB)
8 Demo - Exploring Line and Cell Magic Commands.mp4 (15.62 MB)
9 Module Summary.mp4 (2.17 MB)
1 Module Overview.mp4 (2.15 MB)
2 Demo - Analyzing and Visualizing Data.mp4 (14.82 MB)
3 Demo - Exploring Interactive Widgets.mp4 (14.77 MB)
4 Demo - Adding Interactivity to Custom Functions.mp4 (14.2 MB)
5 Demo - Save, Checkpoint, and Export Notebooks.mp4 (4.1 MB)
6 Demo - Share Notebooks on Github.mp4 (14.86 MB)
7 Module Summary.mp4 (2.28 MB)
1 Module Overview.mp4 (3.17 MB)
2 Running Hosted Jupyter Notebooks on the Cloud.mp4 (5.95 MB)
5 Demo - Exploring and Working with Azure Notebooks.mp4 (9.94 MB)
6 Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 (10.89 MB)
7 Demo - Uploading Files and Running Code on GCP.mp4 (7.79 MB)
8 Summary and Further Study.mp4 (2.38 MB)
1 Course Overview.mp4 (4.36 MB)
1 Importing Text Data into Python Using NumPy.mp4 (15.31 MB)
2 Importing Flat Files and Numeric Data Using NumPy.mp4 (17 MB)
1 Importing CSV Data into Python Using csv and pandas.mp4 (1.54 MB)
2 Importing CSV Files Using the Python csv Module.mp4 (17.37 MB)
3 Importing Text and CSV Files Using pandas.mp4 (36.17 MB)
1 Importing Data into Python from JSON and XML Files.mp4 (2.62 MB)
2 Importing Data into Python from JSON Using the JSON Library.mp4 (39.38 MB)
3 Importing Data into Python from XML Using the ElementTree XML API.mp4 (17.7 MB)
1 Importing Data into Python from Excel Files.mp4 (1.8 MB)
2 Importing Excel Files Using pandas.mp4 (22.44 MB)
2 Reading SAS Files with pandas.mp4 (6.64 MB)
3 Reading Stata Files with pandas.mp4 (5.16 MB)
4 Reading HDF5 Files.mp4 (6.54 MB)
5 Reading Matlab Files.mp4 (3.09 MB)
6 Reading Pickle Files.mp4 (7.09 MB)
1 Importing Data into Python from Relational Databases.mp4 (1.77 MB)
2 Importing sqlite Database Files.mp4 (8.64 MB)
3 Taking Advantage of pandas DataFrames When Querying sqlite.mp4 (3.41 MB)
4 Working with Databases Using SQLAlchemy.mp4 (8.11 MB)
5 Importing Data from Relational Databases with pandas (MySQL).mp4 (8.52 MB)
6 Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 (3.77 MB)
7 Importing Relational Data.mp4 (4.68 MB)
1 Course Overview.mp4 (3.14 MB)
1 Course and Module Introduction.mp4 (2.73 MB)
2 Software and Course Prerequisites.mp4 (2.03 MB)
3 Concatenating Datasets.mp4 (11.55 MB)
4 Merging Datasets.mp4 (6.99 MB)
5 Merge Keys.mp4 (4.93 MB)
6 The How Parameter.mp4 (5.23 MB)
7 Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 (3.29 MB)
8 Summary.mp4 (2.28 MB)
1 Module Introduction.mp4 (1.16 MB)
2 The GroupBy Function.mp4 (3.28 MB)
3 Demo - Why and How to Use the GroupBy Function.mp4 (8.62 MB)
4 Filter and Transform with GroupBy.mp4 (5.47 MB)
5 Demo - Grouping Multi-index Data.mp4 (4.42 MB)
1 Module Introduction.mp4 (1.69 MB)
2 Normalizing Data - What and Why.mp4 (3.13 MB)
3 Simple Feature Scaling.mp4 (3.48 MB)
4 Min-max Scaling.mp4 (3.44 MB)
5 Z-score Normalization.mp4 (3.56 MB)
6 Points to Consider for Data Normalization and Summary.mp4 (3.6 MB)
1 Module Introduction.mp4 (1.36 MB)
2 Introduction to Data Reshaping.mp4 (3.7 MB)
3 Reshape Long Data to Wide Data with the Pivot Function.mp4 (6.1 MB)
4 Reshape Wide Data to Long Using the Melt Function.mp4 (3.58 MB)
5 Reshape Data Using the Stack and Unstack Functions.mp4 (4.15 MB)
6 Reshaping and Aggregation with Pivot Table.mp4 (3.47 MB)
7 Summary.mp4 (1020.86 KB)
1 Module Introduction.mp4 (1.59 MB)
2 One-hot Encoding.mp4 (3.74 MB)
3 Demo - Convert Categorical Values Using One-hot Encoding.mp4 (6.14 MB)
4 Create Dummy Variables with Pandas.mp4 (4.87 MB)
5 Create Frequency Table with the Crosstab Function.mp4 (7.88 MB)
6 Summary and Feedback.mp4 (1.8 MB)
1 Course Overview.mp4 (4.22 MB)
1 Introduction.mp4 (3.55 MB)
2 Viewing and Converting Types.mp4 (9.94 MB)
3 Aggregating Data.mp4 (8.8 MB)
4 Normalizing Data.mp4 (8.05 MB)
5 Transforming Data.mp4 (8.25 MB)
6 Filtering Data.mp4 (7.01 MB)
7 Review.mp4 (1.98 MB)
1 Introduction.mp4 (2.67 MB)
2 Dropping Columns.mp4 (11.1 MB)
3 Changing Column Casing.mp4 (5.87 MB)
4 Renaming Columns.mp4 (10.31 MB)
5 Review.mp4 (2.23 MB)
1 Introduction.mp4 (1.56 MB)
2 Direct Filtering with Square Brackets.mp4 (9.27 MB)
3 Data Indexing with loc.mp4 (8.56 MB)
4 Using iloc to Access Specific Rows or Columns.mp4 (9.93 MB)
5 Filtering Data with str contains.mp4 (12.59 MB)
6 Review.mp4 (2.54 MB)
1 Introduction.mp4 (2.21 MB)
2 Stripping White Space.mp4 (6.06 MB)
3 Replacing Bad Data with NaN.mp4 (13.03 MB)
4 Filling Missing Data with a Value.mp4 (5.39 MB)
5 Dropping Rows of Data.mp4 (9.34 MB)
6 Identifying and Dropping Duplicate Data.mp4 (15.06 MB)
7 Review.mp4 (2.99 MB)
1 Course Overview.mp4 (4.16 MB)
1 Overview.mp4 (2.18 MB)
2 Introducing Pygal.mp4 (5.06 MB)
3 Vector and Raster Images.mp4 (7.75 MB)
4 The SVG Format.mp4 (4.46 MB)
5 Install Pygal.mp4 (8.33 MB)
6 Interacting with Pygal Charts.mp4 (11.28 MB)
7 Plot Data from a CSV File.mp4 (12.01 MB)
8 Stacked Bar Charts.mp4 (7.56 MB)
01 Overview.mp4 (2.08 MB)
02 Construct a Basic Pie Chart.mp4 (11.85 MB)
03 Donut and Half Pie Charts.mp4 (8.88 MB)
04 Chart, Serie, and Value Configurations.mp4 (11.23 MB)
05 Defining Styles and Configs.mp4 (10.69 MB)
06 Introducing Line and Datetimeline Charts.mp4 (10.17 MB)
07 Plotting Real Data with Line and Dateline Charts.mp4 (9.38 MB)
08 Introducing XY Plots.mp4 (6.83 MB)
09 Exploring Real Data with XY Plots.mp4 (12.79 MB)
10 Summary.mp4 (1020.47 KB)
01 Overview.mp4 (923.28 KB)
02 Plotting Histograms.mp4 (7.08 MB)
03 Pyramid Charts.mp4 (8.36 MB)
04 Visualizing Distributions with Box Plots.mp4 (11.41 MB)
05 Constructing a Map Visualization.mp4 (12.78 MB)
06 Generating Radar Plots.mp4 (13.12 MB)
07 Constructing a Funnel Visualization.mp4 (7.92 MB)
08 Creating Gauge Plots.mp4 (10.19 MB)
09 Solid Gauge Plots.mp4 (7.01 MB)
10 Constructing a Dot Plot.mp4 (12.8 MB)
11 Representing Negative Values in a Dot Plot.mp4 (4.28 MB)
12 Building a Treemap Visualization.mp4 (11.25 MB)
13 Summary.mp4 (730.05 KB)
1 Overview.mp4 (1.24 MB)
2 Rendering Charts to Image Files.mp4 (15.55 MB)
3 Rendering Charts to Specialized Formats.mp4 (15.77 MB)
4 PyQuery and Pygal.mp4 (12.83 MB)
5 Building Sparklines.mp4 (5.41 MB)
6 Building a Flask App to Render Pygal Charts.mp4 (10.55 MB)
7 Testing the Flask App.mp4 (3.33 MB)
8 Summary.mp4 (2.19 MB)
1 Course Overview.mp4 (3.47 MB)
1 Up and Running with SQLAlchemy.mp4 (3.81 MB)
2 Installing and Importing SQLAlchemy.mp4 (5.83 MB)
3 Loading Data Using SQLAlchemy.mp4 (6.59 MB)
4 Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 (4.21 MB)
5 Visualizing and Graphing Data with Matplotlib.mp4 (5.42 MB)
6 Takeaway.mp4 (1.4 MB)
01 Querying with SQLAlchemy.mp4 (1.6 MB)
02 Picking a Database.mp4 (5.44 MB)
03 Connecting to Databases - Connectors and the Connection String.mp4 (5.92 MB)
04 Querying with SQL.mp4 (2.17 MB)
05 Object-relational Mapper (ORM) and Classical Mapping.mp4 (5.59 MB)
06 The Declarative API.mp4 (10.92 MB)
07 More Querying and Database Functions.mp4 (11.98 MB)
08 Using Joins.mp4 (2.06 MB)
09 Working with Hierarchical Tables.mp4 (3.39 MB)
10 Takeaway.mp4 (1.92 MB)
1 Creating Databases with SQLAlchemy.mp4 (1.46 MB)
2 Creating Databases.mp4 (3.22 MB)
3 Creating Tables.mp4 (4.92 MB)
4 Primary Keys, Constraints, and Data Defaults.mp4 (9.35 MB)
5 Inserting Data - Single and Multiple Rows.mp4 (6.14 MB)
6 Loading a CSV into a Table.mp4 (2.76 MB)
7 Takeaway.mp4 (1.35 MB)
1 Manipulating Databases with SQLAlchemy.mp4 (1.2 MB)
2 Updating Data in a Database.mp4 (6.6 MB)
3 Correlated Updates.mp4 (1.73 MB)
4 Deleting Data from a Database.mp4 (3.41 MB)
5 Deleting Tables.mp4 (1.97 MB)
6 Takeaway.mp4 (1.42 MB)
1 Final Takeaway.mp4 (2.85 MB)
1 Course Overview.mp4 (3.88 MB)
1 General Strategies for Scraping Web Pages.mp4 (3.42 MB)
2 Reviewing Our Target Auto-MPG Web Page.mp4 (11.63 MB)
3 The Complicated Difference between Dynamic and Static Web Pages.mp4 (6.01 MB)
01 A Primer on HTML and CSS.mp4 (4.84 MB)
02 Understanding the HTML, CSS and Structure of Our Target Page.mp4 (12.68 MB)
03 Coming up with a Strategy for a More Complicated Web Page.mp4 (8.09 MB)
04 Using BeautifulSoup4 to Navigate Our Scraped Data.mp4 (15.59 MB)
05 Extracting Information from a Scraped Division.mp4 (9.15 MB)
06 Using Selectors as an Alternative to the Find Method.mp4 (6.1 MB)
07 Advice and Strategy for Scraping.mp4 (2.01 MB)
08 Building the Scraper Module Using PyCharm.mp4 (14.68 MB)
09 Dealing with Missing Data during the Scrape.mp4 (9.31 MB)
10 Refactoring Our Code and Caching Our Scraped Data.mp4 (9.81 MB)
11 Adding a Test to Verify Our Regular Expression Processing.mp4 (14.02 MB)
1 Exporting Scraped Data to a CSV File.mp4 (7.79 MB)
2 Getting a Data Overview with Pandas.mp4 (6.35 MB)
3 Exploratory Data Analysis Strategy.mp4 (8.29 MB)
4 Reviewing Our Hypothesis.mp4 (6.35 MB)
5 Investigating Relationships between MPG and Weight.mp4 (7.4 MB)
6 Understanding How Cylinders and Displacement Are Related.mp4 (3.66 MB)
7 Looking at MPG over the Years.mp4 (3.68 MB)
8 Understanding Brands and Territories with Text Processing.mp4 (4 MB)
9 Telling a Data Story to Explain Our Discoveries.mp4 (6.22 MB)
1 Course Overview.mp4 (3.69 MB)
01 Version Check.mp4 (569.97 KB)
02 Module Overview.mp4 (1.82 MB)
03 Prerequisites and Course Outline.mp4 (1.69 MB)
04 Python for Data Analysts.mp4 (9.43 MB)
05 Python Resources for Analysts.mp4 (6.77 MB)
06 Demo - Exploring Online Resources.mp4 (24.22 MB)
07 Workflows in Data Analytics.mp4 (7.5 MB)
08 Demo - Cleaning Data.mp4 (11.14 MB)
09 Demo - Summary Statistics and Basic Analysis.mp4 (4.94 MB)
10 Demo - Visualizing Relationships in Data.mp4 (9.62 MB)
11 Demo - Sharing Visualizations Online Using Plotly.mp4 (12.55 MB)
12 Demo - Prototyping a Classifier.mp4 (5.56 MB)
13 Demo - Writing a Python Script for a Classification Model.mp4 (15.2 MB)
14 Module Summary.mp4 (1.8 MB)
01 Module Overview.mp4 (1.99 MB)
02 Introducing Big ML.mp4 (3.89 MB)
03 Demo - Getting Started with Big ML.mp4 (3.39 MB)
05 Demo - Data Preparation and Visualization.mp4 (15.17 MB)
06 Demo - Splitting into Training and Test Subsets.mp4 (4.91 MB)
07 Demo - Building Models.mp4 (12.31 MB)
08 Demo - Evaluating Models.mp4 (4.54 MB)
09 Demo - Batch and Individual Predictions.mp4 (14.15 MB)
10 Demo - Clustering.mp4 (11.78 MB)
11 Demo - Anomaly Detection.mp4 (7.97 MB)
12 Module Summary.mp4 (2.01 MB)
01 Module Overview.mp4 (2.04 MB)
02 Introducing Google Colab.mp4 (2.8 MB)
03 Demo - Introducing the Google Colab Interface.mp4 (8.62 MB)
04 Demo - Colab Notebooks-Similar yet Different.mp4 (4.46 MB)
05 Demo - Interactive Forms.mp4 (9.61 MB)
06 Demo - Accessing Google Drive Contents from Colab.mp4 (4.96 MB)
07 Demo - Widgets.mp4 (10.59 MB)
08 Demo - Building a Regression Model.mp4 (11.7 MB)
09 Demo - Integrating with Github.mp4 (5.88 MB)
10 Summary and Further Study.mp4 (2.35 MB)
Screenshot
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!