6videosData School
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Playlists · 4
24:4021 more pandas tricks
A 25-minute video from Data School: “21 more pandas tricks”.
14:514 new time-saving tricks in pandas
A 15-minute video from Data School: “4 new time-saving tricks in pandas”.
20:555 new changes in pandas you need to know about
A 21-minute video from Data School: “5 new changes in pandas you need to know about”.
3:38Access part of a Pipeline using slicing
A 4-minute video from Data School: “Access part of a Pipeline using slicing”.
3:02Add a missing indicator to encode "missingness" as a feature
A 3-minute video from Data School: “Add a missing indicator to encode "missingness" as a feature”.
2:29Add feature selection to a Pipeline
A 2-minute video from Data School: “Add feature selection to a Pipeline”.
16:17Allstate Purchase Prediction Challenge on Kaggle
A 16-minute video from Data School: “Allstate Purchase Prediction Challenge on Kaggle”.
5:40Build an AI chatbot with Python
A 6-minute video from Data School: “Build an AI chatbot with Python”.
5:32Committing Changes in Git and Pushing to a GitHub Repository
A 6-minute video from Data School: “Committing Changes in Git and Pushing to a GitHub Repository”.
26:42Comparing machine learning models in scikit-learn
A 27-minute video from Data School: “Comparing machine learning models in scikit-learn”.
4:09Copying a GitHub Repository to Your Local Computer
A 4-minute video from Data School: “Copying a GitHub Repository to Your Local Computer”.
4:16Cost-sensitive learning in scikit-learn
A 4-minute video from Data School: “Cost-sensitive learning in scikit-learn”.
2:08Create an interactive diagram of a Pipeline in Jupyter
A 2-minute video from Data School: “Create an interactive diagram of a Pipeline in Jupyter”.
4:08Create feature interactions using PolynomialFeatures
A 4-minute video from Data School: “Create feature interactions using PolynomialFeatures”.
1:44:17Data Science Best Practices with pandas (PyCon 2019)
A 104-minute video from Data School: “Data Science Best Practices with pandas (PyCon 2019)”.
34:30Data science in Python: pandas, seaborn, scikit-learn
A 34-minute video from Data School: “Data science in Python: pandas, seaborn, scikit-learn”.
2:36Display GridSearchCV or RandomizedSearchCV results in a DataFrame
A 3-minute video from Data School: “Display GridSearchCV or RandomizedSearchCV results in a DataFrame”.
4:07Drop the first category from binary features (only) with OneHotEncoder
A 4-minute video from Data School: “Drop the first category from binary features (only) with OneHotEncoder”.
5:16Encode categorical features using OneHotEncoder or OrdinalEncoder
A 5-minute video from Data School: “Encode categorical features using OneHotEncoder or OrdinalEncoder”.
4:32Ensemble multiple models using VotingClassifer or VotingRegressor
A 5-minute video from Data School: “Ensemble multiple models using VotingClassifer or VotingRegressor”.
3:04Examine the intermediate steps in a Pipeline
A 3-minute video from Data School: “Examine the intermediate steps in a Pipeline”.
2:30Forking a GitHub Repository
A 2-minute video from Data School: “Forking a GitHub Repository”.
4:04Four reasons to use scikit-learn (not pandas) for ML preprocessing
A 4-minute video from Data School: “Four reasons to use scikit-learn (not pandas) for ML preprocessing”.
2:02Four ways to examine the steps of a Pipeline
A 2-minute video from Data School: “Four ways to examine the steps of a Pipeline”.
2:19Get the feature names output by a ColumnTransformer
A 2-minute video from Data School: “Get the feature names output by a ColumnTransformer”.
15:26Getting started in scikit-learn with the famous iris dataset
A 15-minute video from Data School: “Getting started in scikit-learn with the famous iris dataset”.
1:59:59Getting started with machine learning in Python (webcast)
A 120-minute video from Data School: “Getting started with machine learning in Python (webcast)”.
36:54Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)
A 37-minute video from Data School: “Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)”.
3:17Handle unknown categories with OneHotEncoder by encoding them as zeros
A 3-minute video from Data School: “Handle unknown categories with OneHotEncoder by encoding them as zeros”.
38:57Hands-on dplyr tutorial for faster data manipulation in R
A 39-minute video from Data School: “Hands-on dplyr tutorial for faster data manipulation in R”.
2:52HistGradientBoostingClassifier natively supports missing values
A 3-minute video from Data School: “HistGradientBoostingClassifier natively supports missing values”.
17:58How do I apply a function to a pandas Series or DataFrame?
A 18-minute video from Data School: “How do I apply a function to a pandas Series or DataFrame?”.
9:52How do I apply multiple filter criteria to a pandas DataFrame?
A 10-minute video from Data School: “How do I apply multiple filter criteria to a pandas DataFrame?”.
13:30How do I avoid a SettingWithCopyWarning in pandas?
A 14-minute video from Data School: “How do I avoid a SettingWithCopyWarning in pandas?”.
14:56How do I change display options in pandas?
A 15-minute video from Data School: “How do I change display options in pandas?”.
7:29How do I change the data type of a pandas Series?
A 7-minute video from Data School: “How do I change the data type of a pandas Series?”.