Data Science Foundations - Dive into Python and NumPy for Powerful Insights
Created by Team Mammoth
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Skill level
All levels
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Sections
5
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Lectures
60
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Instructor
Team Mammoth
What's inside
This course includes.
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5
Sections
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60
Lectures
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60
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.
+ Numpy 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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+ Learning about Pandas 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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+ 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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+ Intro to Tensorflow 11 lectures
00. Course Intro
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01. Intro To Tensorflow
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02. Installing Tensorflow
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03. Intro To Linear Regression
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05. Linear Regression Model - Building The Model
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04. Linear Regression Model - Creating Dataset
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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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+ Review Sentiment Analysis 9 lectures
00. Course Intro
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01. How Machines Interpret Text
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02. Building The Model Part 1 - Examining Dataset
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03. Building The Model Part 2 - Formatting Dataset
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04. Building The Model Part 3 - Building The Model
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05. Building The Model Part 4 - Training The Model
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06. Building The Model Part 5 - Testing The Model.Mp4
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07. Course Summary And Outro
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Source Files
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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