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DATA SCIENCE AND MACHINE LEARNING

DATA SCIENCE AND MACHINE LEARNING

Machine learning (ML) is a type of artificial intelligence (AI) that allows machines to learn and improve from data without being explicitly programmed. ML uses algorithms to analyze data, identify patterns, and make decisions. 

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Responsible gavireddy hruthik
Last Update 20/04/2025
Completion Time 1 day 2 hours 16 minutes
Members 22
Advanced
  • Data Science Full Course
    1Lessons · 1 day 1 hr
    • Data Science Full Course - Complete Data Science Course IBM
  • Welcome to the Python for Data Science & ML bootcamp!
    1Lessons · 1 min
    • Welcome to the Python for Data Science & ML bootcamp!
  • Python A Brief Overview.
    1Lessons · 1 min
    • Python A Brief Overview.
  • The Python Installation Procedure
    1Lessons · 2 mins
    • The Python Installation Procedure
  • What Jupyter is.
    1Lessons · 1 min
    • What Jupyter is.
  • Set up Anaconda on Different Operating Systems
    1Lessons · 4 mins
    • Set up Anaconda on Different Operating Systems
  • How to integrate Python into Jupyter
    1Lessons · 1 min
    • How to integrate Python into Jupyter
  • Handling Directories in Jupyter Notebook.
    1Lessons · 3 mins
    • Handling Directories in Jupyter Notebook.
  • Input & Output
    1Lessons · 2 mins
    • Input & Output
  • Working with different datatypes
    1Lessons · 1 min
    • Working with different datatypes
  • Variables
    1Lessons · 2 mins
    • Variables
  • Arithmetic Operators
    1Lessons · 2 mins
    • Arithmetic Operators
  • Comparison Operators
    1Lessons · 1 min
    • Comparison Operators
  • Logical Operators
    1Lessons · 3 mins
    • Logical Operators
  • Conditional statements
    1Lessons · 2 mins
    • Conditional statements
  • Loops
    1Lessons · 4 mins
    • Loops
  • Sequences Part 1 Lists
    1Lessons · 3 mins
    • Sequences Part 1 Lists
  • Sequences Part 2 Dictionaries
    1Lessons · 3 mins
    • Sequences Part 2 Dictionaries
  • Sequences Part 3 Tuples
    1Lessons · 1 min
    • Sequences Part 3 Tuples
  • Functions Part 1 Built-in Functions
    1Lessons · 1 min
    • Functions Part 1 Built-in Functions
  • Functions Part 2 User-defined Functions
    1Lessons · 3 mins
    • Functions Part 2 User-defined Functions
  • Completing Library Setup
    1Lessons · 1 min
    • Completing Library Setup
  • Library Importing
    1Lessons · 2 mins
    • Library Importing
  • Pandas A Data Science Library
    1Lessons · 1 min
    • Pandas A Data Science Library
  • NumPy A Data Science Library
    1Lessons · 1 min
    • NumPy A Data Science Library
  • NumPy vs Pandas
    1Lessons · 1 min
    • NumPy vs Pandas
  • Matplotlib Library for Data Science
    1Lessons · 1 min
    • Matplotlib Library for Data Science
  • Seaborn Library for Data Science
    1Lessons · 1 min
    • Seaborn Library for Data Science
  • Intro to NumPy arrays
    1Lessons · 1 min
    • Intro to NumPy arrays
  • Creating NumPy arrays
    1Lessons · 6 mins
    • Creating NumPy arrays
  • Indexing NumPy arrays
    1Lessons · 6 mins
    • Indexing NumPy arrays
  • Array shape
    1Lessons · 1 min
    • Array shape
  • Iterating Over NumPy Arrays
    1Lessons · 5 mins
    • Iterating Over NumPy Arrays
  • Basic NumPy arrays zeros()
    1Lessons · 2 mins
    • Basic NumPy arrays zeros()
  • Basic NumPy arrays ones()
    1Lessons · 1 min
    • Basic NumPy arrays ones()
  • Basic NumPy arrays full()
    1Lessons · 1 min
    • Basic NumPy arrays full()
  • Adding a scalar
    1Lessons · 2 mins
    • Adding a scalar
  • Subtracting a scalar
    1Lessons · 1 min
    • Subtracting a scalar
  • Multiplying by a scalar
    1Lessons · 1 min
    • Multiplying by a scalar