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Discover resources that will boost your progress and enhance your data science learning experience and professional performance.

Save hours of browsing through the Internet and accelerate your workflow with code-ready templates for your programming projects. Personally crafted by 365 Data Science instructors, these templates will bring a surprising level of efficiency to your work process.

Yellow cover of Logistic Regression with statsmodels in Python. This template resources is from 365 Data Science.
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Logistic Regression with statsmodels in Python Template

The Logistic Regression with statsmodels in Python template shows how to solve a simple classification problem using the logistic regression model provided by the statsmodels library. The database used for the example is read using the pandas library.. Some other related topics you might be interested in are Confusion Matrix with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python. You can now download the Python template for free. The Logistic Regression with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.

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Confusion Matrix with statsmodels in Python Template

In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python. You can now download the Python template for free. The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Linear Regression Model in Python- Predictions versus Targets. This template resources is from 365 Data Science.
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Linear Regression Model in Python- Predictions versus Targets Template

In this Linear Regression Model in Python- predictions versus targets template, we will show you how to plot the predictions the model has made versus the true targets. Some other related topics you might be interested in are Predictions with statsmodels in Python, Feature Selection through Standardization with sklearn in Python, Predictions with standardized Coefficients with sklearn in Python, Visualizing Linear regressions with matplotlib in Python. You can now download the Python template for free. The Dummy Variables with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Dummy Variables with pandas in Python. This template resource is from 365 Data Science.
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Dummy Variables with pandas in Python Template

When preparing data for a machine learning algorithm, very often we see variables that do not bear numerical values The Dummy Variables with pandas in Python template demonstrates how to map categorical data onto numerical values using the pandas library. Some other related topics you might be interested in are Mapping Categorical to Numerical Data with pandas in Python, Removing Missing Values with pandas in Python, Removing Outliers with pandas in Python. You can now download the Python template for free. The Dummy Variables with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow over of The OLS Assumptions in Python – No Multicollinearity. This template resource is from 365 Data Science.
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The OLS Assumptions in Python – No Multicollinearity

The OLS Assumptions in Python – No Multicollinearity shows how to detect possible collinearity between several data set features and deal with them. In this example, we investigate the possible collinearity between several car features and remove the unnecessary ones. Some other topics you might be interested in exploring are OLS Assumptions in Python - No Multicollinearity, Linear Regression Model in Python – Residuals. You can now download the Python template for free. The OLS Assumptions in Python - No Multicollinearity template is among the topics covered in detail in the 365 Data Science program.

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OLS Assumptions in Python - Linearity Template

The OLS Assumptions in Python - Linearity shows how to transform non-linear dependencies into linear. In this example, we check the dependencies between the price of a car with respect to the year of manufacturing, its price and its mileage. Some other related topics you might be interested are OLS assumptions in Python – Linearity and Linear regression model in Python - residuals. You can now download the Python template for free. The OLS Assumptions in Python - Linearity template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Removing Outliers with pandas in Python. This template resource is from 365 Data Science.
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Removing Outliers with pandas in Python Template

The Removing Outliers with pandas in Python shows how to detect and remove samples that skew a dataset and might lead to building an inaccurate model. Some other related topics you might be interested are Removing Outliers with pandas in Python, Dummy Variables with pandas in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through standardization with sklearn in Python, Linear Regression Model in Python – residuals. You can now download the Python template for free. The Removing Outliers with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

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Yelllow cover of Removing Missing Values with pandas in Python. This template resource is from 365 Data Science.
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Removing Missing Values with pandas in Python Template

The Removing Missing Values with pandas in Python shows how to detect and remove samples from a dataset that contain missing values. Some other related topics you might be interested are Removing Outliers with pandas in Python, Dummy Variables with pandas in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through standardization with sklearn in Python, Linear Regression Model in Python – residuals. You can now download the Python template for free. The Removing Missing Values with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Train and Test Split with sklearn in Python. This template resource is from 365 Data Science.
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Train and Test Split with sklearn in Python Template

The Train and Test Split with sklearn in Python template shows how to prevent overtraining of the machine learning algorithm by using the convenient train_test_split() method provided by sklearn to split a database into two parts - a training and a testing dataset. Some other related topics you might be interested are Regression Summary Table with sklearn in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through Standardization with sklearn in Python, Predictions with Standardized Coefficients with sklearn in Python. You can now download the Python template for free. The Train and Test Split with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Predictions with Standardized Coefficients with sklearn in Python. This template resource is from 365 Data Science.
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Predictions with Standardized Coefficients with sklearn in Python Template

The Predictions with Standardized Coefficients with sklearn in Python shows how to predict values using a model that was fit on standardized inputs. First, we solve a multiple linear regression problem with two continuous features using the machine learning package sklearn, after which we apply standardization. Some other related topics you might be interested are Predictions with statsmodels in Python, Feature Selection through Standardization with sklearn in Python, Visualizing Linear Regressions with matplotlib in Python. You can now download the Python template for free. The Predictions with Standardized Coefficients with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.

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Correlation in Excel Template

The Correlation in Excel template demonstrates how the correlation coefficient can be calculated in Excel. Some other related topics you might be interested in are Calculating the Variance in Excel, Standard Deviation in Excel, Coefficient of Variation in Excel, Covariance in Excel. You can now download the Excel template for free. The Correlation in Excel template is among the topics covered in detail in the 365 Data Science program.

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Covariance in Excel Template

The Covariance in Excel template demonstrates how the covariance metric can be calculated in Excel. Some other related topics you might be interested in are Calculating the Variance in Excel, Standard Deviation in Excel, Coefficient of Variation in Excel, Correlation in Excel You can now download the Excel template for free. The Covariance in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Standard Deviation in Excel. This template resource is from 365 Data Science.
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Standard Deviation in Excel Template

The following Standard Deviation in Excel template introduces the relevant Excel syntax for calculating sample standard deviation. Some other related topics you might be interested in are Calculating the variance in Excel, Coefficient of Variation in Excel, Covariance in Excel, Correlation in Excel You can now download the Excel template for free. Standard Deviation in Excel template is among the topics covered in detail in the 365 Data Science program.

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Calculating the Variance in Excel Template

The following Calculating the Variance in Excel template demonstrates the difference between sample variance and population variance. It introduces the relevant Excel syntax for calculating these 2 metrics. Some other related topics you might be interested in are Standard Deviation in Excel, Coefficient of Variation in Excel, Covariance in Excel, Correlation in Excel. You can now download the Excel template for free. Calculating the Variance in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Negative Skew in Excel. This template resource is from 365 Data Science.
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Negative Skew in Excel Template

The following Negative Skew in Excel template includes a sample dataset resulting in a negatively (left) skewed frequency distribution graph. Some other related topics you might be interested in are Positive Skew in Excel, Zero Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel. You can now download the Excel template for free. Negative Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Zero Skew in Excel. This template resource is from 365 Data Science.
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Zero Skew in Excel Template

The following Zero Skew in Excel template includes a sample dataset resulting in a zero skewed (no skew) frequency distribution graph Some other related topics you might be interested in are Positive Skew in Excel, Negative Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel. You can now download the Excel template for free. Zero Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Positive Skew in Excel. This template resource is from 365 Data Science.
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Positive Skew in Excel Template

The Positive Skew in Excel template includes a sample dataset resulting in a positively (right) skewed frequency distribution graph. Some other related topics you might be interested in are Zero Skew in Excel, Negative Skew in Excel, Normal Distribution in Excel, Standard Normal Distribution in Excel. You can now download the Excel template for free. Positive Skew in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Calculating the Mode in Excel. This template resource is from 365 Data Science.
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Calculating the Mode in Excel Template

The Calculating the Mode in Excel template shows how to apply the Excel function corresponding to finding the mode of a set of numbers. Some other related topics you might be interested in are Calculating the Mean in Excel, Calculating the Median in Excel, Covariance in Excel, and Correlation in Excel. You can now download the Excel template for free. Calculating the Mode in Excel template is among the topics covered in detail in the 365 Data Science program.

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Green cover of Calculating the Median in Excel. This template resource is from 365 Data Science.
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Calculating the Median in Excel Template

The Calculating the Median in Excel template shows how to apply the Excel function corresponding to finding the median of a set of numbers. Some other related topics you might be interested in are Calculating the Mean in Excel, Calculating the Mode in Excel, Covariance in Excel, and Correlation in Excel.

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Green cover of Calculating the Mean in Excel. This template resource is from 365 Data Science.
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Calculating the Mean in Excel Template

The Calculating the Mean in Excel template shows how to apply the Excel function corresponding to finding the mean of a set of numbers. Some other related topics you might be interested in are Pareto Diagram in Excel, Side-by-Side Bar Chart in Excel, Normal Distribution in Excel, Stacked Area Chart in matplotlib Python, Bar and Line chart in Excel You can now download the Excel template for free. Calculating the Mean in Excel template is among the topics covered in detail in the 365 Data Science program.

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