Mlearning.ai

JANUARY 29, 2024

Data Science Project — Build a Decision Tree Model with Healthcare Data Using Decision Trees to Categorize Adverse Drug Reactions from Mild to Severe Photo by Maksim Goncharenok Decision trees are a powerful and popular machine learning technique for classification tasks.

Decision Trees 52

Decision Trees Data Science Exploratory Data Analysis Data Analysis 52

Pickl AI

JULY 12, 2024

Public Datasets: Utilising publicly available datasets from repositories like Kaggle or government databases. Decision Trees Decision trees recursively partition data into subsets based on the most significant attribute values. Web Scraping : Extracting data from websites and online sources.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping. Data Cleaning: Raw data often contains errors, inconsistencies, and missing values.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Structured data refers to neatly organised data that fits into tables, such as spreadsheets or databases, where each column represents a feature and each row represents an instance. For example, linear regression is typically used to predict continuous variables, while decision trees are great for classification and regression tasks.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Iguazio

JUNE 25, 2023

Use techniques such as sequential analysis, monitoring distribution between different time windows, adding timestamps to the decision tree based classifier, and more. In some cases, cross-validation techniques like k-fold cross-validation or stratified sampling may be used to get more reliable estimates of performance.

ML 52

ML ML Clustering Cross Validation 52

Mlearning.ai

MAY 23, 2023

Decision trees are more prone to overfitting. Some algorithms that have low bias are Decision Trees, SVM, etc. Hence, we have various classification algorithms in machine learning like logistic regression, support vector machine, decision trees, Naive Bayes classifier, etc. character) is underlined or not.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Businesses need to analyse data as it streams in to make timely decisions. Variety It encompasses the different types of data, including structured data (like databases), semi-structured data (like XML), and unstructured formats (such as text, images, and videos). This diversity requires flexible data processing and storage solutions.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52