Hands-On Problem Solving for Machine Learning

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£ 150 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Intuitive strategies to deal with messy data, weak models, and leaky machine-learning pipelines.Machine learning is all the rage, and you have been tasked with creating models for your business. What looked simple on the surface quickly becomes a nightmare of messy data and non-performing models. What do you do?Hands-On Problem Solving for Machine Learning is packed with intuitive explanations of how machine learning works so that you can fix your models when they break. It presents a wide array of practical solutions for your machine learning pipeline, whether you are working with images, text, or numbers. You'll get a real feel for how to tackle challenges posed during regression and classification tasks.If you want to move past calling simple machine learning libraries, and start solving machine learning problems with real-world messy data, this course is for you!About The AuthorRudy Lai is the founder of Quant-Copy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, Quant-Copy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance?key analytics that all feedback into how our AI generates content.Prior to founding Quant-Copy, Rudy ran High-Dimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High-Dimension, IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.
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In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Acquire a toolbox for machine learning in Python in just 30 minutes
Clean messy datasets from the real world and use them in Python
Fix linear models that predicted wrong numbers
Resolve issues with classification models that mislabel data points
Deal with overfitting and making sure models generalize to the future
Future-proof your machine-learning pipeline

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Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Sales Training
  • Install
  • MS Excel
  • Import
  • Sales
  • SQL
  • Email
  • Problem Solving
  • Access
  • Excel

Course programme

Working with Machine Learning 4 lectures 30:22 The Course Overview This video gives glimpse of the entire course. Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Working with Machine Learning-Quiz Working with Machine Learning 4 lectures 30:22 The Course Overview This video gives glimpse of the entire course. Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Working with Machine Learning-Quiz The Course Overview This video gives glimpse of the entire course. The Course Overview This video gives glimpse of the entire course. The Course Overview This video gives glimpse of the entire course. The Course Overview This video gives glimpse of the entire course. This video gives glimpse of the entire course. This video gives glimpse of the entire course. Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Goals and Variations in Machine Learning This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
This video deals with the goals and variations in Machine Learning (ML).
  • Understand what the goals in ML are
  • Learn what are variations in ML
  • Understand what is supervised and unsupervised learning
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Installing WinPython and Using Jupyter Notebooks In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
In this video, you will get to learn how to Install WinPython and use Jupiter Notebooks.
  • Dive into WinPython
  • Install WinPython
  • Learn what is Jupyter Notebook and Scikit-learn
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Exploring Your Data Using Pandas This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
This video takes a step further and lets you explore your data using pandas.
  • Get to know, why is data exploration important
  • Explore data using pandas
  • Explore dataframes, indices, and more
Working with Machine Learning-Quiz Working with Machine Learning-Quiz Working with Machine Learning-Quiz Working with Machine Learning-Quiz Data Wrangling 3 lectures 27:20 Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
Data Wrangling - Quiz Data Wrangling. 3 lectures 27:20 Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
Data Wrangling - Quiz Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Types of Messy Data and How to Clean Them In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
In these videos, we will first explore different types of messy data and move ahead to see how to clean them.
  • Create a new Pandas series
  • Call the string values of each item in the list
  • Access individual items and turn split list into columns
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Parsing Timestamps and Splitting Columns This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
This video will let you know how to parse timestamps and split columns.
  • Create a new datetime index and feed a list
  • Convert the time zone
  • Perform resampling
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
Loading Data from Excel, CSVs, and SQL In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL.
  • Import a specific sheet with the name of the sheet
  • Import a specific sheet by the sheet ordering
  • Import a few sheets with a list
In this video, we will dive right in to learn about loading data from Excel, CSVs, and SQL l
  • Understand logistic regression
  • The linear model package
  • Open-source models vs. hand-crafted models
    • Implementing Train-Test-Splits...

    Additional information

    Some basic knowledge of Python programming

    See related categories

    Hands-On Problem Solving for Machine Learning

    £ 150 VAT inc.

    The best Other Education courses

    See all

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