Mlearning.ai

JANUARY 27, 2023

We use some of the data for training and some for testing (we will not use test data for training). How we do this is the subject of the concept of cross-validation. I will develop a model using the training data (blue) and apply it to my test data (red). Diagram of k-fold cross-validation.

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Mlearning.ai

APRIL 10, 2023

No Problem: Using DBSCAN for Outlier Detection and Data Cleaning Photo by Mel Poole on Unsplash DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise. DBSCAN works by partitioning the data into dense regions of points that are separated by less dense areas.

Algorithm 52

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Pickl AI

MAY 24, 2023

Scikit-Learn Scikit Learn is associated with NumPy and SciPy and is one of the best libraries helpful for working with complex data. Its modified feature includes the cross-validation that allowing it to use more than one metric. NumPy NumPy is one of the most popular Python Libraries for Machine Learning in Python.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

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Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

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DagsHub

APRIL 21, 2024

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. It also provides tools for model evaluation , including cross-validation, hyperparameter tuning, and metrics such as accuracy, precision, recall, and F1-score.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

JUNE 27, 2023

Originally used in Data Mining, clustering can also serve as a crucial preprocessing step in various Machine Learning algorithms. The optimal value for K can be found using ideas like Cross Validation (CV). How would we tackle this challenge? K = 3 ; 3 Clusters. K = No of clusters.

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