Data Science Dojo

JULY 5, 2024

The torchvision package includes datasets and transformations for testing and validating computer vision models. Scikit-learn Scikit-learn is a versatile Python library that offers various algorithms and model evaluation metrics, including cross-validation and grid search for hyperparameter tuning.

Machine Learning 322

Machine Learning Machine Learning ML ML 322

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.

Cross Validation 52

Cross Validation Machine Learning Machine Learning Data Mining 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

MAY 24, 2023

Introduction One of the most widely used and highly popular programming languages in the technological world is Python. Significantly, despite being user-friendly and easy to learn, one of Python’s many advantages is that it has large collection of libraries. What is a Python Library? What version of Python are you using?

Data Science 52

Data Science Python Machine Learning Machine Learning 52

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. Image by the author.

Algorithm 52

Algorithm Clustering Cross Validation Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

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

Data Science Decision Trees Machine Learning Machine Learning 52