Introduction to Machine Learning and Python Data Science
Exploring the Foundations of Machine Learning and Data Science with Python
Created by John Bura
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Skill level
All levels
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Sections
5
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Lectures
63
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Instructor
John Bura
What's inside
This course includes.
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5
Sections
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63
Lectures
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147
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Intro to Tensorflow 11 lectures
01. Intro To Tensorflow
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02. Installing Tensorflow
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03. Intro To Linear Regression
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04. Linear Regression Model - Creating Dataset
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05. Linear Regression Model - Building The Model
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06. Linear Regression Model - Creating A Loss Function
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08. Linear Regression Model - Testing The Model
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07. Linear Regression Model - Training The Model
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09. Summary And Outro
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Intro to Tensorflow - Source Files
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00. Course Intro
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+ Machine Learning theory 11 lectures
00. Course Intro
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01. Quick Intro To Machine Learning
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02. Deep Dive Into Machine Learning
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03. Problems Solved With Machine Learning Part 1
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04. Problems Solved With Machine Learning Part 2
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05. Types Of Machine Learning
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06. How Machine Learning Works
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07. Common Machine Learning Structures
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08. Steps To Build A Machine Learning Program
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09. Summary And Outro
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Intro to Machine Learning Slides
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+ Build fast, efficient NumPy arrays for Machine Learning and Data Science 11 lectures
00. Course Intro
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01. Intro To Numpy
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02. Installing Numpy
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03. Creating Numpy Arrays
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04. Creating Numpy Matrices
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05. Getting And Setting Numpy Elements
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06. Arithmetic Operations On Numpy Arrays
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07. Numpy Functions Part 1
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08. Numpy Functions Part 2
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09. Summary And Outro
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Source Files
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+ Build dataframes with Pandas for machine learning and data science 18 lectures
00. Panda Course Introduction
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01. Intro To Pandas
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02. Installing Pandas
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03. Creating Pandas Series
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04. Date Ranges
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05. Getting Elements From Series
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06. Getting Properties Of Series
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07. Modifying Series
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08. Operations On Series
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09. Creating Pandas Dataframes
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10. Getting Elements From Dataframes
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11. Getting Properties From Dataframes
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12. Dataframe Modification
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13. Dataframe Operations
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14 Dataframe Comparisons And Iteration
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15. Reading Csvs
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16. Summary And Outro
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Source Files
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+ Visualize data with Matplotlib's PyPlot 12 lectures
00. Course Intro
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01. Intro To Pyplot
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02. Installing Matplotlib
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03. Basic Line Plot
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04. Customizing Graphs
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05. Plotting Multiple Datasets
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06. Bar Chart
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07. Pie Chart
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08. Histogram
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09. 3D Plotting
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10. Course Outro
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Pyplot Code
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Description
About this course.
**Welcome to the Course: Introduction to Machine Learning and Python Data Science**
Embark on a captivating journey into the realms of machine learning and data science using Python. This comprehensive course is designed for individuals eager to explore the foundations of Python programming, data manipulation, and the essential concepts behind machine learning.
**Who is this course for?**
- Beginners looking to start their journey into programming and data science.
- Professionals seeking to expand their skills into the field of machine learning.
- Enthusiasts curious about the intersection of Python, data science, and machine learning.
**Why Take this Course?**
- **Holistic Learning:** Cover the essential aspects of Python programming, data manipulation, and machine learning theory in one comprehensive course.
- **Hands-On Practice:** Engage in practical exercises and projects to reinforce your understanding of key concepts.
- **Real-World Applications:** Learn skills that are directly applicable in data-driven industries and machine learning development.
By the end of this course, you'll have acquired a strong foundation in Python programming, data manipulation, and machine learning theory, paving the way for further exploration in the dynamic fields of data science and machine learning. Join us in the "Introduction to Machine Learning and Python Data Science" course and embark on your exciting journey into this cutting-edge domain.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Exploring the Foundations of Machine Learning and Data Science with Python