Sat April 21, 2018
Intro to Machine Learning with Python & Scikit-Learn 2-days workshop
SEE EVENT DETAILS
Intro to Machine Learning with Python & Scikit-Learn 2-days workshop
Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data.
Curriculum
The workshop is meant to provide you with a solid base to build your machine learning skills. In particular you will learn to:
Recognize problems that can be solved with Machine Learning
Select the right technique (is it a classification problem? a regression? needs preprocessing?)
Load and manipulate data with Pandas
Visualize and explore data with Matplotlib and Bokeh
Build regression, classification and clustering models with Scikit-Learn
Evaluate model performance with Scikit-Learn
Build, train and serve a predictive model using Python, Flask and Heroku
Activities
The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice.
Is lunch provided
Yes! Lunch is included.
Are there any prerequisites?
Previous experience programming in Python or in other languages is advised to make best use of the workshop.
Why python?
In the last 2 years Python has become a de-facto standard in data science and is widely adopted by most major companies. Reasons for this success include:
large set of mature data science libraries => most needs covered
worldwide community of enthusiasts => get help when you need it
easy to learn, read and write => start contributing immediately
supports both functional and object oriented coding => versatile and powerful
full stack programming language => easier interaction between data scientists and software engineers
Instructor
The course is lead by Francesco Mosconi. Ph.D. in Physics and Data Scientist at Catalit LLC, he was formerly co-founder and Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration and physical activity. Machine Learning and python expert he also served as Data Science lead instructor at General Assembly and The Data incubator.
Read our reviews on Yelp
Terms & Conditions
Cancellation policy
In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, we will refund all registration fees for those who signed up. We are not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).
Refund policy
More than 1 week before course: full refund.Less than 1 week before course: no refund available.
Money-back guarantee
All public workshops come with a no-questions-asked money-back guarantee. If you are unhappy for any reason after attending the class, you can ask for a full refund.
show less
Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data.
Curriculum
The workshop is meant to provide you with a solid base to build your machine learning skills. In particular you will learn to:
Recognize problems that can be solved with Machine Learning
Select the right technique (is it a classification problem? a regression? needs preprocessing?)
Load and manipulate data with Pandas
Visualize and explore data with Matplotlib and Bokeh
Build regression, classification and clustering models with Scikit-Learn
Evaluate model performance with Scikit-Learn
Build, train and serve a predictive model using Python, Flask and Heroku
Activities
The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice.
Is lunch provided
Yes! Lunch is included.
Are there any prerequisites?
Previous experience programming in Python or in other languages is advised to make best use of the workshop.
Why python?
In the last 2 years Python has become a de-facto standard in data science and is widely adopted by most major companies. Reasons for this success include:
large set of mature data science libraries => most needs covered
worldwide community of enthusiasts => get help when you need it
easy to learn, read and write => start contributing immediately
supports both functional and object oriented coding => versatile and powerful
full stack programming language => easier interaction between data scientists and software engineers
Instructor
The course is lead by Francesco Mosconi. Ph.D. in Physics and Data Scientist at Catalit LLC, he was formerly co-founder and Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration and physical activity. Machine Learning and python expert he also served as Data Science lead instructor at General Assembly and The Data incubator.
Read our reviews on Yelp
Terms & Conditions
Cancellation policy
In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, we will refund all registration fees for those who signed up. We are not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).
Refund policy
More than 1 week before course: full refund.Less than 1 week before course: no refund available.
Money-back guarantee
All public workshops come with a no-questions-asked money-back guarantee. If you are unhappy for any reason after attending the class, you can ask for a full refund.
Intro to Machine Learning with Python & Scikit-Learn 2-days workshop
Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data.
Curriculum
The workshop is meant to provide you with a solid base to build your machine learning skills. In particular you will learn to:
Recognize problems that can be solved with Machine Learning
Select the right technique (is it a classification problem? a regression? needs preprocessing?)
Load and manipulate data with Pandas
Visualize and explore data with Matplotlib and Bokeh
Build regression, classification and clustering models with Scikit-Learn
Evaluate model performance with Scikit-Learn
Build, train and serve a predictive model using Python, Flask and Heroku
Activities
The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice.
Is lunch provided
Yes! Lunch is included.
Are there any prerequisites?
Previous experience programming in Python or in other languages is advised to make best use of the workshop.
Why python?
In the last 2 years Python has become a de-facto standard in data science and is widely adopted by most major companies. Reasons for this success include:
large set of mature data science libraries => most needs covered
worldwide community of enthusiasts => get help when you need it
easy to learn, read and write => start contributing immediately
supports both functional and object oriented coding => versatile and powerful
full stack programming language => easier interaction between data scientists and software engineers
Instructor
The course is lead by Francesco Mosconi. Ph.D. in Physics and Data Scientist at Catalit LLC, he was formerly co-founder and Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration and physical activity. Machine Learning and python expert he also served as Data Science lead instructor at General Assembly and The Data incubator.
Read our reviews on Yelp
Terms & Conditions
Cancellation policy
In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, we will refund all registration fees for those who signed up. We are not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).
Refund policy
More than 1 week before course: full refund.Less than 1 week before course: no refund available.
Money-back guarantee
All public workshops come with a no-questions-asked money-back guarantee. If you are unhappy for any reason after attending the class, you can ask for a full refund.
read more
Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data.
Curriculum
The workshop is meant to provide you with a solid base to build your machine learning skills. In particular you will learn to:
Recognize problems that can be solved with Machine Learning
Select the right technique (is it a classification problem? a regression? needs preprocessing?)
Load and manipulate data with Pandas
Visualize and explore data with Matplotlib and Bokeh
Build regression, classification and clustering models with Scikit-Learn
Evaluate model performance with Scikit-Learn
Build, train and serve a predictive model using Python, Flask and Heroku
Activities
The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice.
Is lunch provided
Yes! Lunch is included.
Are there any prerequisites?
Previous experience programming in Python or in other languages is advised to make best use of the workshop.
Why python?
In the last 2 years Python has become a de-facto standard in data science and is widely adopted by most major companies. Reasons for this success include:
large set of mature data science libraries => most needs covered
worldwide community of enthusiasts => get help when you need it
easy to learn, read and write => start contributing immediately
supports both functional and object oriented coding => versatile and powerful
full stack programming language => easier interaction between data scientists and software engineers
Instructor
The course is lead by Francesco Mosconi. Ph.D. in Physics and Data Scientist at Catalit LLC, he was formerly co-founder and Chief Data Officer at Spire, a YC-backed company that invented the first consumer wearable device capable of continuously tracking respiration and physical activity. Machine Learning and python expert he also served as Data Science lead instructor at General Assembly and The Data incubator.
Read our reviews on Yelp
Terms & Conditions
Cancellation policy
In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, we will refund all registration fees for those who signed up. We are not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).
Refund policy
More than 1 week before course: full refund.Less than 1 week before course: no refund available.
Money-back guarantee
All public workshops come with a no-questions-asked money-back guarantee. If you are unhappy for any reason after attending the class, you can ask for a full refund.
show less
Date/Times:
450 Townsend Street, San Francisco, CA 94107
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