Data Science Dojo

FEBRUARY 15, 2023

Ultimately, we can use two or three vital tools: 1) [either] a simple checklist, 2) [or,] the interdisciplinary field of project-management, and 3) algorithms and data structures. In addition to the mindful use of the above twelve elements, our Google-search might reveal that various authors suggest some vital algorithms for data science.

K-nearest Neighbors 195

K-nearest Neighbors Decision Trees Support Vector Machines Data Science 195

DrivenData Labs

MAY 24, 2023

We chose to compete in this challenge primarily to gain experience in the implementation of machine learning algorithms for data science. Summary of approach: Our solution for Phase 1 is a gradient boosted decision tree approach with a lot of feature engineering. What motivated you to compete in this challenge?

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

phData

MARCH 6, 2023

Building a Decision Tree Model in KNIME The next predictive model that we want to talk about is the decision tree. Unlike linear regression, which is relatively simple, decision trees can come in a variety of flavors and can be used for both classification and regression-type models.

Decision Trees 52

Decision Trees Analytics Analytics Data Science 52

Dataconomy

APRIL 4, 2024

From deterministic software to AI Earlier examples of “thinking machines” included cybernetics (feedback loops like autopilots) and expert systems (decision trees for doctors). A lot : Some algorithmic advances have lowered the cost of AI by multiple orders of magnitude. When the result is unexpected, that’s called a bug.

Algorithm 103

Algorithm AI AI Decision Trees 103

Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Key takeaways Data Science lays the groundwork for Machine Learning, providing curated datasets for ML algorithms to learn and make predictions. Emphasises programming skills, understanding of algorithms, and expertise in Data Analysis.

Data Science 52

Data Science ML ML Machine Learning 52

Mlearning.ai

NOVEMBER 29, 2023

All the previously, recently, and currently collected data is used as input for time series forecasting where future trends, seasonal changes, irregularities, and such are elaborated based on complex math-driven algorithms. This one is a widely used ML algorithm that is mostly focused on capturing complex patterns within tabular datasets.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

SEPTEMBER 10, 2024

The remaining features are horizontally appended to the pathology features, and a gradient boosted decision tree classifier (LightGBM) is applied to achieve predictive analysis. Pathology-Omic Research Platform for Integrative Survival Estimation (PORPOISE) PORPOISE ( Chen et al., Although Chen et al.,

Supervised Learning 90

Supervised Learning Machine Learning Machine Learning AWS 90