Dataconomy

JUNE 13, 2023

These algorithms are carefully selected based on the specific decision problem and are trained using the prepared data. Machine learning algorithms, such as neural networks or decision trees, learn from the data to make predictions or generate recommendations.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

Dataconomy

JULY 24, 2023

It involves developing algorithms that can learn from and make predictions or decisions based on data. Familiarity with regression techniques, decision trees, clustering, neural networks, and other data-driven problem-solving methods is vital. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

APRIL 3, 2025

Modeling: Build a logistic regression or decision tree model to predict the likelihood of a customer churning based on various factors. Tools Commonly Used Business Intelligence Platforms: Tableau, Microsoft Power BI, Qlik Sense, Google Data Studio (Looker Studio) Programming Libraries: Matplotlib, Seaborn (Python); ggplot2 (R); D3.js

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

APRIL 26, 2024

What are the advantages and disadvantages of decision trees ? It is essential to provide a unified data view and enable business intelligence and analytics. Tools & Technologies Gain proficiency in Python, pandas, NumPy, Scipy, Power BI, R, and Tableau. Explain the Extract, Transform, Load (ETL) process.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52