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Course outline: "Master Machine Learning with scikit-learn"
Data School
241 тыс. подписчиков
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149 видео с канала:
Data School
Course outline: "Master Machine Learning with scikit-learn"
Скачать
Course overview: "Master Machine Learning with scikit-learn"
Скачать
Introduction to model ensembling
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How to save a scikit-learn Pipeline with custom transformers
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Should I shuffle samples with cross-validation?
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Cost-sensitive learning in scikit-learn
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scikit-learn vs Deep Learning
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How to read the scikit-learn documentation
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My top 50 scikit-learn tips
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21 more pandas tricks
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Adapt this pattern to solve many Machine Learning problems
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Tune multiple models simultaneously with GridSearchCV
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Access part of a Pipeline using slicing
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Tune the parameters of a VotingClassifer or VotingRegressor
Скачать
Ensemble multiple models using VotingClassifer or VotingRegressor
Скачать
Create feature interactions using PolynomialFeatures
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Speed up GridSearchCV using parallel processing
Скачать
Use OrdinalEncoder instead of OneHotEncoder with tree-based models
Скачать
Passthrough some columns and drop others in a ColumnTransformer
Скачать
Drop the first category from binary features (only) with OneHotEncoder
Скачать
Estimators only print parameters that have been changed
Скачать
Load a toy dataset into a DataFrame
Скачать
Get the feature names output by a ColumnTransformer
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Create an interactive diagram of a Pipeline in Jupyter
Скачать
Most parameters should be passed as keyword arguments
Скачать
Don't use .values when passing a pandas object to scikit-learn
Скачать
Add feature selection to a Pipeline
Скачать
Use FunctionTransformer to convert functions into transformers
Скачать
Use AUC to evaluate multiclass problems
Скачать
Shuffle your dataset when using cross_val_score
Скачать
Four ways to examine the steps of a Pipeline
Скачать
Vectorize two text columns in a ColumnTransformer
Скачать
Save a model or Pipeline using joblib
Скачать
Two ways to impute missing values for a categorical feature
Скачать
Use stratified sampling with train_test_split
Скачать
Prune a decision tree to avoid overfitting
Скачать
Visualize a decision tree two different ways
Скачать
Display the intercept and coefficients for a linear model
Скачать
Use the correct methods for each type of Pipeline
Скачать
Compare multiple ROC curves in a single plot
Скачать
Plot a confusion matrix
Скачать
Important tuning parameters for LogisticRegression
Скачать
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
Скачать
Try RandomizedSearchCV if GridSearchCV is taking too long
Скачать
Use cross_val_score and GridSearchCV on a Pipeline
Скачать
Three reasons not to use drop='first' with OneHotEncoder
Скачать
HistGradientBoostingClassifier natively supports missing values
Скачать
Examine the intermediate steps in a Pipeline
Скачать
What is the difference between Pipeline and make_pipeline?
Скачать
Impute missing values using KNNImputer or IterativeImputer
Скачать
Set a "random_state" to make your code reproducible
Скачать
Add a missing indicator to encode "missingness" as a feature
Скачать
Use Pipeline to chain together multiple steps
Скачать
Handle unknown categories with OneHotEncoder by encoding them as zeros
Скачать
Encode categorical features using OneHotEncoder or OrdinalEncoder
Скачать
Four reasons to use scikit-learn (not pandas) for ML preprocessing
Скачать
Use "fit_transform" on training data, but "transform" (only) on testing/new data
Скачать
What is the difference between "fit" and "transform"?
Скачать
Seven ways to select columns using ColumnTransformer
Скачать
Use ColumnTransformer to apply different preprocessing to different columns
Скачать
How do I merge DataFrames in pandas?
Скачать
How do I encode categorical features using scikit-learn?
Скачать
My top 25 pandas tricks
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Data Science Best Practices with pandas (PyCon 2019)
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How do I stay up-to-date as a data scientist?
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How do I use the MultiIndex in pandas?
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Should I learn pandas before scikit-learn?
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How do I select features for Machine Learning?
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Making sense of the confusion matrix
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Q&A about Data School Insiders
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Join Data School Insiders on Patreon!
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pandas best practices (10/10): Fixing bad data
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pandas best practices (9/10): Creating useful plots
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pandas best practices (8/10): Plotting a time series
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pandas best practices (7/10): Combining dates and times
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pandas best practices (6/10): Using string methods
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pandas best practices (5/10): Handling missing values
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pandas best practices (4/10): Examining relationships
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pandas best practices (3/10): Comparing groups
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pandas best practices (2/10): Removing columns
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pandas best practices (1/10): Introducing the dataset
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What's your favorite pandas trick??
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5 new changes in pandas you need to know about
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4 new time-saving tricks in pandas
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Data School Live Stream
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Web scraping in Python (Part 4): Exporting a CSV with pandas
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Web scraping in Python (Part 3): Building a dataset
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Web scraping in Python (Part 2): Parsing HTML with Beautiful Soup
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Web scraping in Python (Part 1): Getting started
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Write Pythonic Code for Better Data Science (webcast)
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Machine Learning with Text in scikit-learn (PyData DC 2016)
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Your pandas questions answered! (webcast)
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Q&A about Machine Learning with Text (online course)
Скачать
Getting started with machine learning in Python (webcast)
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How do I apply a function to a pandas Series or DataFrame?
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How do I create a pandas DataFrame from another object?
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How do I change display options in pandas?
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How do I avoid a SettingWithCopyWarning in pandas?
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How do I find and remove duplicate rows in pandas?
Скачать
How do I work with dates and times in pandas?
Скачать
How do I create dummy variables in pandas?
Скачать
More of your pandas questions answered!
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How do I use pandas with scikit-learn to create Kaggle submissions?
Скачать
How do I make my pandas DataFrame smaller and faster?
Скачать
When should I use the "inplace" parameter in pandas?
Скачать
Machine Learning with Text in scikit-learn (PyCon 2016)
Скачать
How do I select multiple rows and columns from a pandas DataFrame?
Скачать
What do I need to know about the pandas index? (Part 2)
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What do I need to know about the pandas index? (Part 1)
Скачать
How do I handle missing values in pandas?
Скачать
How do I explore a pandas Series?
Скачать
When should I use a "groupby" in pandas?
Скачать
How do I change the data type of a pandas Series?
Скачать
How do I use string methods in pandas?
Скачать
How do I use the "axis" parameter in pandas?
Скачать
Your pandas questions answered!
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How do I apply multiple filter criteria to a pandas DataFrame?
Скачать
How do I filter rows of a pandas DataFrame by column value?
Скачать
How do I sort a pandas DataFrame or a Series?
Скачать
How do I remove columns from a pandas DataFrame?
Скачать
How do I rename columns in a pandas DataFrame?
Скачать
Why do some pandas commands end with parentheses (and others don't)?
Скачать
How do I select a pandas Series from a DataFrame?
Скачать
How do I read a tabular data file into pandas?
Скачать
What is pandas? (Introduction to the Q&A series)
Скачать
How to evaluate a classifier in scikit-learn
Скачать
How to find the best model parameters in scikit-learn
Скачать
Selecting the best model in scikit-learn using cross-validation
Скачать
Data science in Python: pandas, seaborn, scikit-learn
Скачать
Comparing machine learning models in scikit-learn
Скачать
Training a machine learning model with scikit-learn
Скачать
Getting started in scikit-learn with the famous iris dataset
Скачать
Setting up Python for machine learning: scikit-learn and Jupyter Notebook
Скачать
What is machine learning, and how does it work?
Скачать
Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)
Скачать
ROC Curves and Area Under the Curve (AUC) Explained
Скачать
Hands-on dplyr tutorial for faster data manipulation in R
Скачать
Troubleshooting: Updates Rejected When Pushing to GitHub
Скачать
Allstate Purchase Prediction Challenge on Kaggle
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Additional Resources for Learning Git and GitHub
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Syncing Your GitHub Fork
Скачать
Committing Changes in Git and Pushing to a GitHub Repository
Скачать
Copying a GitHub Repository to Your Local Computer
Скачать
Creating a New GitHub Repository
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Forking a GitHub Repository
Скачать
Navigating a GitHub Repository - Part 2
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Navigating a GitHub Repository - Part 1
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Setting up Git and GitHub
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What is the difference between Git and GitHub?
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Канал: Data School
Course outline: "Master Machine Learning with scikit-learn"
Скачать
Course overview: "Master Machine Learning with scikit-learn"
Скачать
Introduction to model ensembling
Скачать
How to save a scikit-learn Pipeline with custom transformers
Скачать
Should I shuffle samples with cross-validation?
Скачать
Cost-sensitive learning in scikit-learn
Скачать
scikit-learn vs Deep Learning
Скачать
How to read the scikit-learn documentation
Скачать
My top 50 scikit-learn tips
Скачать
21 more pandas tricks
Скачать
Adapt this pattern to solve many Machine Learning problems
Скачать
Tune multiple models simultaneously with GridSearchCV
Скачать
Access part of a Pipeline using slicing
Скачать
Tune the parameters of a VotingClassifer or VotingRegressor
Скачать
Ensemble multiple models using VotingClassifer or VotingRegressor
Скачать
Create feature interactions using PolynomialFeatures
Скачать
Speed up GridSearchCV using parallel processing
Скачать
Use OrdinalEncoder instead of OneHotEncoder with tree-based models
Скачать
Passthrough some columns and drop others in a ColumnTransformer
Скачать
Drop the first category from binary features (only) with OneHotEncoder
Скачать
Estimators only print parameters that have been changed
Скачать
Load a toy dataset into a DataFrame
Скачать
Get the feature names output by a ColumnTransformer
Скачать
Create an interactive diagram of a Pipeline in Jupyter
Скачать
Most parameters should be passed as keyword arguments
Скачать
Don't use .values when passing a pandas object to scikit-learn
Скачать
Add feature selection to a Pipeline
Скачать
Use FunctionTransformer to convert functions into transformers
Скачать
Use AUC to evaluate multiclass problems
Скачать
Shuffle your dataset when using cross_val_score
Скачать
Four ways to examine the steps of a Pipeline
Скачать
Vectorize two text columns in a ColumnTransformer
Скачать
Save a model or Pipeline using joblib
Скачать
Two ways to impute missing values for a categorical feature
Скачать
Use stratified sampling with train_test_split
Скачать
Prune a decision tree to avoid overfitting
Скачать
Visualize a decision tree two different ways
Скачать
Display the intercept and coefficients for a linear model
Скачать
Use the correct methods for each type of Pipeline
Скачать
Compare multiple ROC curves in a single plot
Скачать
Plot a confusion matrix
Скачать
Important tuning parameters for LogisticRegression
Скачать
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
Скачать
Try RandomizedSearchCV if GridSearchCV is taking too long
Скачать
Use cross_val_score and GridSearchCV on a Pipeline
Скачать
Three reasons not to use drop='first' with OneHotEncoder
Скачать
HistGradientBoostingClassifier natively supports missing values
Скачать
Examine the intermediate steps in a Pipeline
Скачать
What is the difference between Pipeline and make_pipeline?
Скачать
Impute missing values using KNNImputer or IterativeImputer
Скачать
Set a "random_state" to make your code reproducible
Скачать
Add a missing indicator to encode "missingness" as a feature
Скачать
Use Pipeline to chain together multiple steps
Скачать
Handle unknown categories with OneHotEncoder by encoding them as zeros
Скачать
Encode categorical features using OneHotEncoder or OrdinalEncoder
Скачать
Four reasons to use scikit-learn (not pandas) for ML preprocessing
Скачать
Use "fit_transform" on training data, but "transform" (only) on testing/new data
Скачать
What is the difference between "fit" and "transform"?
Скачать
Seven ways to select columns using ColumnTransformer
Скачать
Use ColumnTransformer to apply different preprocessing to different columns
Скачать
How do I merge DataFrames in pandas?
Скачать
How do I encode categorical features using scikit-learn?
Скачать
My top 25 pandas tricks
Скачать
Data Science Best Practices with pandas (PyCon 2019)
Скачать
How do I stay up-to-date as a data scientist?
Скачать
How do I use the MultiIndex in pandas?
Скачать
Should I learn pandas before scikit-learn?
Скачать
How do I select features for Machine Learning?
Скачать
Making sense of the confusion matrix
Скачать
Q&A about Data School Insiders
Скачать
Join Data School Insiders on Patreon!
Скачать
pandas best practices (10/10): Fixing bad data
Скачать
pandas best practices (9/10): Creating useful plots
Скачать
pandas best practices (8/10): Plotting a time series
Скачать
pandas best practices (7/10): Combining dates and times
Скачать
pandas best practices (6/10): Using string methods
Скачать
pandas best practices (5/10): Handling missing values
Скачать
pandas best practices (4/10): Examining relationships
Скачать
pandas best practices (3/10): Comparing groups
Скачать
pandas best practices (2/10): Removing columns
Скачать
pandas best practices (1/10): Introducing the dataset
Скачать
What's your favorite pandas trick??
Скачать
5 new changes in pandas you need to know about
Скачать
4 new time-saving tricks in pandas
Скачать
Data School Live Stream
Скачать
Web scraping in Python (Part 4): Exporting a CSV with pandas
Скачать
Web scraping in Python (Part 3): Building a dataset
Скачать
Web scraping in Python (Part 2): Parsing HTML with Beautiful Soup
Скачать
Web scraping in Python (Part 1): Getting started
Скачать
Write Pythonic Code for Better Data Science (webcast)
Скачать
Machine Learning with Text in scikit-learn (PyData DC 2016)
Скачать
Your pandas questions answered! (webcast)
Скачать
Q&A about Machine Learning with Text (online course)
Скачать
Getting started with machine learning in Python (webcast)
Скачать
How do I apply a function to a pandas Series or DataFrame?
Скачать
How do I create a pandas DataFrame from another object?
Скачать
How do I change display options in pandas?
Скачать
How do I avoid a SettingWithCopyWarning in pandas?
Скачать
How do I find and remove duplicate rows in pandas?
Скачать
How do I work with dates and times in pandas?
Скачать
How do I create dummy variables in pandas?
Скачать
More of your pandas questions answered!
Скачать
How do I use pandas with scikit-learn to create Kaggle submissions?
Скачать
How do I make my pandas DataFrame smaller and faster?
Скачать
When should I use the "inplace" parameter in pandas?
Скачать
Machine Learning with Text in scikit-learn (PyCon 2016)
Скачать
How do I select multiple rows and columns from a pandas DataFrame?
Скачать
What do I need to know about the pandas index? (Part 2)
Скачать
What do I need to know about the pandas index? (Part 1)
Скачать
How do I handle missing values in pandas?
Скачать
How do I explore a pandas Series?
Скачать
When should I use a "groupby" in pandas?
Скачать
How do I change the data type of a pandas Series?
Скачать
How do I use string methods in pandas?
Скачать
How do I use the "axis" parameter in pandas?
Скачать
Your pandas questions answered!
Скачать
How do I apply multiple filter criteria to a pandas DataFrame?
Скачать
How do I filter rows of a pandas DataFrame by column value?
Скачать
How do I sort a pandas DataFrame or a Series?
Скачать
How do I remove columns from a pandas DataFrame?
Скачать
How do I rename columns in a pandas DataFrame?
Скачать
Why do some pandas commands end with parentheses (and others don't)?
Скачать
How do I select a pandas Series from a DataFrame?
Скачать
How do I read a tabular data file into pandas?
Скачать
What is pandas? (Introduction to the Q&A series)
Скачать
How to evaluate a classifier in scikit-learn
Скачать
How to find the best model parameters in scikit-learn
Скачать
Selecting the best model in scikit-learn using cross-validation
Скачать
Data science in Python: pandas, seaborn, scikit-learn
Скачать
Comparing machine learning models in scikit-learn
Скачать
Training a machine learning model with scikit-learn
Скачать
Getting started in scikit-learn with the famous iris dataset
Скачать
Setting up Python for machine learning: scikit-learn and Jupyter Notebook
Скачать
What is machine learning, and how does it work?
Скачать
Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)
Скачать
ROC Curves and Area Under the Curve (AUC) Explained
Скачать
Hands-on dplyr tutorial for faster data manipulation in R
Скачать
Troubleshooting: Updates Rejected When Pushing to GitHub
Скачать
Allstate Purchase Prediction Challenge on Kaggle
Скачать
Additional Resources for Learning Git and GitHub
Скачать
Syncing Your GitHub Fork
Скачать
Committing Changes in Git and Pushing to a GitHub Repository
Скачать
Copying a GitHub Repository to Your Local Computer
Скачать
Creating a New GitHub Repository
Скачать
Forking a GitHub Repository
Скачать
Navigating a GitHub Repository - Part 2
Скачать
Navigating a GitHub Repository - Part 1
Скачать
Setting up Git and GitHub
Скачать
What is the difference between Git and GitHub?
Скачать