Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Introduction to Machine Learning
Graph Chatbot
Related lectures (56)
Data Science with Python
Covers Python basics, Pandas, data manipulation, visualization, and machine learning.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Introduction: What do we mean by Data Science?
Introduces the team, provides a crash course on Python, and explores the journey into Data Science and the importance of refining data.
Introduction to Data Science
Introduces data science topics, evaluation methods, and course organization for the semester.
Python: Dictionaries and Tuples
Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.
Scopes and Lambdas: Data Science with Python
Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.
Data Science Essentials: Python, Numpy, Pandas, and Scikit-learn
Covers the essentials of Data Science using Python, Numpy, Pandas, and Scikit-learn, including DNA sequence analysis and classification.
Python Lists: Manipulation and Comprehension
Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.
Programming Basics: Python Fundamentals
Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.
Collaborative Data Science: Tools and Techniques
Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.
Data Science with Python: Modules and Numpy
Introduces Python modules and NumPy for efficient array operations and linear algebra in data science.
Introduction to Python: Basics and Anaconda Setup
Covers the basics of Python programming and setting up Anaconda and Jupyter Notebook.
Introduction to Applied Data Analysis
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Introduction to Applied Data Analysis
Introduces the Applied Data Analysis course, focusing on data science tools and project work.
Programming Basics: Dictionaries and Classes
Introduces the basics of programming with a focus on dictionaries and classes in Python.
Introduction to Data Science
Log in to Mediaspace to watch this video
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Data Science for Engineers: Part 2
Log in to Mediaspace to watch this video
Explores data manipulation, exploration, and visualization in data science projects using Python.
Data Science: Python for Engineers - Part II
Log in to Mediaspace to watch this video
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Data Science with Python: Numpy Basics
Log in to Mediaspace to watch this video
Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.
Introduction to Machine Learning: Course Overview and Basics
Log in to Mediaspace to watch this video
Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.
Previous
Page 1 of 3
Next