This video explains Python tuples.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains Python sets, which are unordered collection objects.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains Python lists.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains Python Lambda functions.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains loop structures in Python.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains Eigenvalues and Eigenvectors.<br<br/>/>

This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.

This video explains Principal Component Analysis – computations.
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This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality...

This video explains the various methods of accessing a series of objects.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains the left outer join in dataframe.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains how to manipulate data within your dataframes.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains iterating through an array.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video explains returning the dot product of two arrays.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video introduces you to the Naive Bayes probability model.
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This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability...

This video explains Naive Bayes probability computation.
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This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...

This video explains K-Means clustering computation.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...

This video explains the influence of dti on the loan status or the default ratio.
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This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains...

This video explains decision tree - learning steps.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision...

This video explains K-Means clustering optimization.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...

This video explains hypothesis testing.<br<br/>/>

This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.

This video explains unordered categorical variables.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains an example of lending club case study.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains decision tree - model optimization using grid search cross validation.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section...

This video introduces you to decision tree - model concept.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...

This video explains decision tree - Gini Index and Entropy Measures.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification...