Creating dashboards to interpret machine learning model

Explainer Dashboard(Source: By Author)

Nowadays, creating a machine learning model is easy because of different python libraries that are in the market like sklearn, lazypredict, etc. These libraries are easy to use and used to create different types of models along with different types of visualizations and finding out the model performance. …


Using LOFO to Calculate the Importance of Feature in a Dataset

Feature Importance (Source: By Author)

With the advent of different algorithms creating Machine learning or Deep learning, the model is not that difficult. We just need to understand what is the target variable in the dataset, create a suitable model and run it. …


Using Visualkeras to Visualize Keras Model

Neural Network (Source: By Author)

Neural Network is a subset of Machine Learning which is inspired by the human brain and is used to solve AI-related problems. It is inspired by neurons found in the human brain, it is a network that is connected using different neurons called a Neural Network. …


Using Skimpy for Statistical Summary of Dataframes

Source: By Author

Statistical Analysis of the dataset helps in identifying trends, patterns, and relationships between different data points of quantitative data. It helps in unraveling hidden patterns that are underlying in the data and are not visible to naked eyes. It generally contains skewness, quartile, mean, etc.

Pandas provide describe function which…


Using Tablexplore for Replacing Spreadsheets

Source: By Author

Data visualization is one of the best ways to identify any hidden patterns, relationships between data points, etc. Which are not generally visible in tabular form. Different visualization help in analyzing the data and generate useful insights.

There are multiple Python libraries that we can use for visualization and analyzing…


Using AutoML-Gs for Creating Optimized Machine Learning Model

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Creating a Machine Learning model is a difficult task because we need to write a lot of code to try different models and find out the performing model for that particular problem. …


Using Ivis for Reducing Dimensions of very Large Datasets

Photo by Hitesh Choudhary on Unsplash

Creating a Machine Learning model using high dimensional data can lead to a model having a very high variance and overfitting which means that the model is not generalized enough to be used on unseen data. …


Using FLAML for Automating Machine Learning Process

Photo by Pietro Jeng on Unsplash

Machine Learning is a process where we try to solve real-life business problems using a different set of algorithms. Creating a Machine Learning model is easy but selecting which model performs the best for our data in terms of generalization and performance is a difficult task.

There is a wide…


Using Lightning for Creating Highly Interactive Visualizations

Source: By Author

Data Visualization helps in analyzing hidden patterns in data that are not visible to naked human eyes. It can help in understanding the data behavior and data association. There is a wide variety of visualizations that can be used to analyze data like Bar charts, Scatter charts, etc.

Interactive visualizations…


Using IPyWidgets for Creating Widgets to Control Visualizations

Source: By Author

Data Visualization helps in analyzing hidden patterns in data that are not visible to naked human eyes. It can help in understanding the data behavior and data association. There is a wide variety of visualizations that can be used to analyze data like Bar charts, Scatter charts, etc.

Controlling visualizations…

Himanshu Sharma

I write about my learnings in the field of Data Science, Visualization, Artificial Intelligence, etc.| Linkedin: https://www.linkedin.com/in/himanshusharmads/

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