Python for Data Science and Machine Learning
  • ondemand_video
       Video Length : 23h30m0s
  • format_list_bulleted
       Tasks Number : 166
  • group
       Students Enrolled : 1585
  • equalizer
       Medium Level
  • Curriculum
  • 1. Course Introduction
    • videocam
      Introduction
      10m0s
    • videocam
      Course Help and Welcome
      10m0s
    • videocam
      Course FAQs
      10m0s
    • videocam
      Environment Set-up and Installation
      10m0s
  • 2. Jupyter Overview
    • videocam
      Updates to Notebook Zip
      10m0s
    • videocam
      Jupyter Notebooks
      10m0s
    • videocam
      Optional: Virtual Environments
      10m0s
  • 3. Python Crash Course
    • videocam
      Welcome to the Python Crash Course Section!
      10m0s
    • videocam
      Introduction to Python Crash Course
      10m0s
    • videocam
      Python Crash Course - Part 1
      10m0s
    • videocam
      Python Crash Course - Part 2
      10m0s
    • videocam
      Python Crash Course - Part 3
      10m0s
    • videocam
      Python Crash Course - Part 4
      10m0s
    • videocam
      Python Crash Course Exercises - Overview
      10m0s
    • videocam
      Python Crash Course Exercises - Solutions
      10m0s
  • 4. Python for Data Analysis - NumPy
    • videocam
      Welcome to the NumPy Section!
      10m0s
    • videocam
      Introduction to Numpy
      10m0s
    • videocam
      Numpy Arrays
      10m0s
    • videocam
      Quick Note on Array Indexing
      10m0s
    • videocam
      Numpy Array Indexing
      10m0s
    • videocam
      Numpy Operations
      10m0s
    • videocam
      Numpy Exercises Overview
      10m0s
    • videocam
      Numpy Exercises Solutions
      10m0s
  • 5. Python for Data Analysis - Pandas
    • videocam
      Welcome to the Pandas Section!
      10m0s
    • videocam
      Introduction to Pandas
      10m0s
    • videocam
      Series
      10m0s
    • videocam
      DataFrames - Part 1
      10m0s
    • videocam
      DataFrames - Part 2
      10m0s
    • videocam
      DataFrames - Part 3
      10m0s
    • videocam
      Missing Data
      10m0s
    • videocam
      Groupby
      10m0s
    • videocam
      Merging Joining and Concatenating
      10m0s
    • videocam
      Operations
      10m0s
    • videocam
      Data Input and Output
      10m0s
  • 6. Python for Data Analysis - Pandas Exercises
    • videocam
      SF Salaries Exercise Overview
      10m0s
    • videocam
      Note on SF Salary Exercise
      10m0s
    • videocam
      SF Salaries Solutions
      10m0s
    • videocam
      Ecommerce Purchases Exercise Overview
      10m0s
    • videocam
      Ecommerce Purchases Exercise Solutions
      10m0s
  • 7. Python for Data Visualization - Matplotlib
    • videocam
      Welcome to the Data Visualization Section!
      10m0s
    • videocam
      Introduction to Matplotlib
      10m0s
    • videocam
      Matplotlib Part 1
      10m0s
    • videocam
      Matplotlib Part 2
      10m0s
    • videocam
      Matplotlib Part 3
      10m0s
    • videocam
      Matplotlib Exercises Overview
      10m0s
    • videocam
      Matplotlib Exercises - Solutions
      10m0s
  • 8. Python for Data Visualization - Seaborn
    • videocam
      Introduction to Seaborn
      10m0s
    • videocam
      Distribution Plots
      10m0s
    • videocam
      Categorical Plots
      10m0s
    • videocam
      Matrix Plots
      10m0s
    • videocam
      Grids
      10m0s
    • videocam
      Regression Plots
      10m0s
    • videocam
      Style and Color
      10m0s
    • videocam
      Seaborn Exercise Overview
      10m0s
    • videocam
      Seaborn Exercise Solutions
      10m0s
  • 9. Python for Data Visualization - Pandas Built-in Data Visualization
    • videocam
      Pandas Built-in Data Visualization
      10m0s
    • videocam
      Pandas Data Visualization Exercise
      10m0s
    • videocam
      Pandas Data Visualization Exercise- Solutions
      10m0s
  • 10. Python for Data Visualization - Plotly and Cufflinks
    • videocam
      Introduction to Plotly and Cufflinks
      10m0s
    • videocam
      Plotly and Cufflinks
      10m0s
  • 11. Python for Data Visualization - Geographical Plotting
    • videocam
      Introduction to Geographical Plotting
      10m0s
    • videocam
      Choropleth Maps - Part 1 - USA
      10m0s
    • videocam
      Choropleth Maps - Part 2 - World
      10m0s
    • videocam
      Choropleth Exercises
      10m0s
    • videocam
      Choropleth Exercises - Solutions
      10m0s
  • 12. Data Capstone Project
    • videocam
      Welcome to the Data Capstone Projects!
      10m0s
    • videocam
      Project Overview
      10m0s
    • videocam
      Solutions - Part 1
      10m0s
    • videocam
      Solutions - Part 2
      10m0s
    • videocam
      Bank Data
      10m0s
    • videocam
      Finance Data Project Overview
      10m0s
    • videocam
      Finance Project - Solutions Part 1
      10m0s
    • videocam
      Finance Project - Solutions Part 2
      10m0s
    • videocam
      Finance Project - Solutions Part 3
      10m0s
  • 13. Introduction to Machine Learning
    • videocam
      Welcome to the Machine Learning Section!
      10m0s
    • videocam
      Link for ISLR
      10m0s
    • videocam
      Introduction to Machine Learning
      10m0s
    • videocam
      Machine Learning with Python
      10m0s
  • 14. Linear Regression
    • videocam
      Linear Regression Theory
      10m0s
    • videocam
      model_selection Updates for SciKit Learn 0.18
      10m0s
    • videocam
      Linear Regression with Python - Part 1
      10m0s
    • videocam
      Linear Regression with Python - Part 2
      10m0s
    • videocam
      Linear Regression Project Overview
      10m0s
    • videocam
      Linear Regression Project Solution
      10m0s
  • 15. Cross Validation and Bias-Variance Trade-Off
    • videocam
      Bias Variance Trade-Off
      10m0s
  • 16. Logistic Regression
    • videocam
      Logistic Regression Theory
      10m0s
    • videocam
      Logistic Regression with Python - Part 1
      10m0s
    • videocam
      Logistic Regression with Python - Part 2
      10m0s
    • videocam
      Logistic Regression with Python - Part 3
      10m0s
    • videocam
      Logistic Regression Project Overview
      10m0s
    • videocam
      Logistic Regression Project Solutions
      10m0s
  • 17. K Nearest Neighbors
    • videocam
      KNN Theory
      10m0s
    • videocam
      KNN with Python
      10m0s
    • videocam
      KNN Project Overview
      10m0s
    • videocam
      KNN Project Solutions
      10m0s
  • 18. Decision Trees and Random Forests
    • videocam
      Introduction to Tree Methods
      10m0s
    • videocam
      Decision Trees and Random Forest with Python
      10m0s
    • videocam
      Decision Trees and Random Forest Project Overview
      10m0s
    • videocam
      Decision Trees and Random Forest Solutions Part 1
      10m0s
    • videocam
      Decision Trees and Random Forest Solutions Part 2
      10m0s
  • 19. Support Vector Machines
    • videocam
      SVM Theory
      10m0s
    • videocam
      Support Vector Machines with Python
      10m0s
    • videocam
      SVM Project Overview
      10m0s
    • videocam
      SVM Project Solutions
      10m0s
  • 20. K Means Clustering
    • videocam
      K Means Algorithm Theory
      10m0s
    • videocam
      K Means with Python
      10m0s
    • videocam
      K Means Project Overview
      10m0s
    • videocam
      K Means Project Solutions
      10m0s
  • 21. Principal Component Analysis
    • videocam
      Principal Component Analysis
      10m0s
    • videocam
      PCA with Python
      10m0s
  • 22. Recommender Systems
    • videocam
      Recommender Systems
      10m0s
    • videocam
      Recommender Systems with Python - Part 1
      10m0s
    • videocam
      Recommender Systems with Python - Part 2
      10m0s
  • 23. Natural Language Processing
    • videocam
      Natural Language Processing Theory
      10m0s
    • videocam
      NLP with Python - Part 1
      10m0s
    • videocam
      NLP with Python - Part 2
      10m0s
    • videocam
      NLP with Python - Part 3
      10m0s
    • videocam
      NLP Project Overview
      10m0s
    • videocam
      NLP Project Solutions
      10m0s
  • 24. Big Data and Spark with Python
    • videocam
      Welcome to the Big Data Section!
      10m0s
    • videocam
      Big Data Overview
      10m0s
    • videocam
      Spark Overview
      10m0s
    • videocam
      Local Spark Set-Up
      10m0s
    • videocam
      AWS Account Set-Up
      10m0s
    • videocam
      Quick Note on AWS Security
      10m0s
    • videocam
      EC2 Instance Set-Up
      10m0s
    • videocam
      SSH with Mac or Linux
      10m0s
    • videocam
      PySpark Setup
      10m0s
    • videocam
      Lambda Expressions Review
      10m0s
    • videocam
      Introduction to Spark and Python
      10m0s
    • videocam
      RDD Transformations and Actions
      10m0s
  • 25. Neural Nets and Deep Learning
    • videocam
      Welcome to the Deep Learning Section!
      10m0s
    • videocam
      Neural Network Theory
      10m0s
    • videocam
      What is TensorFlow?
      10m0s
    • videocam
      Installing Tensorflow 1.10
      10m0s
    • videocam
      TensorFlow Basics
      10m0s
    • videocam
      MNIST - Part One
      10m0s
    • videocam
      MNIST - Part Two
      10m0s
    • videocam
      Tensorflow Estimators
      10m0s
    • videocam
      Deep Learning Project
      10m0s
    • videocam
      Deep Learning Project - Solutions
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

Python for Data Science and Machine Learning


Python for Data Science and Machine Learning

Discussions
You must login to comment.