Data Science Dojo

SEPTEMBER 26, 2023

Explore, analyze, and visualize data using Power BI Desktop to make data-driven business decisions. Check out our Introduction to Power BI cohort. Gini Impurity vs. Entropy: These plots are critical in the field of decision trees and ensemble learning.

Data Science 370

Data Science Decision Trees Clustering Power BI 370

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Deep Dive: What is Data Visualization?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

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. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Pickl AI

DECEMBER 4, 2024

Dive Deep into Machine Learning and AI Technologies Study core Machine Learning concepts, including algorithms like linear regression and decision trees. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Data Visualization Data scientists may be expected to know some basic data visualization to help tell a story with their data and algorithms. Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

AUGUST 9, 2024

Key topics include: Supervised Learning Understanding algorithms such as linear regression, decision trees, and support vector machines, and their applications in Big Data. Understanding how to assess model performance is crucial for data scientists. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52