DataRobot

DECEMBER 20, 2021

With Image Augmentation , you can create new training images from your dataset by randomly transforming existing images, thereby increasing the size of the training data via augmentation. Multimodal Clustering. Submit Data. After Exploratory Data Analysis is completed, you can look at your data.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Pickl AI

JULY 18, 2023

Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

JULY 28, 2023

How to become a data scientist Data transformation also plays a crucial role in dealing with varying scales of features, enabling algorithms to treat each feature equally during analysis Noise reduction As part of data preprocessing, reducing noise is vital for enhancing data quality.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

JULY 10, 2023

The programming language can handle Big Data and perform effective data analysis and statistical modelling. R allows you to conduct statistical analysis and offers capabilities of statistical and graphical representation. How is R Used in Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

OCTOBER 9, 2024

Plotly allows developers to embed interactive features such as zooming, panning, and hover effects directly into the plots, making it ideal for Exploratory Data Analysis and dynamic reports. Bar Charts Bar charts help compare categorical data across different groups.

Python 52

Python Exploratory Data Analysis Data Analysis Data Analysis 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau further has its own drawbacks in case of its use in Data Science considering it is a Data Analysis tool rather than a tool for Data Science.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Tableau

OCTOBER 10, 2024

Ateken Abla October 10, 2024 - 10:48pm Tristan Guillevin Tableau Visionary and Co-Founder LaDataViz Jessica Bautista DataDev Ambassador and Consultant LaDataViz Tableau Visionary Tristan Guillevin and DataDev Ambassador Jessica Bautista co-run LaDataViz, a data visualization studio and Tableau Developer Partner.

Tableau 52

Tableau Data Visualization Exploratory Data Analysis Data Analysis 52

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Mlearning.ai

FEBRUARY 28, 2023

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

DagsHub

SEPTEMBER 16, 2024

It is a powerful tool that illuminates patterns, trends, and anomalies, enabling data scientists and stakeholders to make informed decisions. Data Visualization unveils data characteristics, distributions, and relationships, guiding feature engineering and preprocessing. It also Visualizes model selection processes (e.g.,

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Data Science Blog

FEBRUARY 23, 2023

If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough. And sometimes ad hoc analysis with simple data visualization will help your decision makings. But only with limited labeled data, decision boundaries would be ambiguous.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Mlearning.ai

AUGUST 10, 2023

Figure 19: Question 3 Visualization We can see the most searches by Brand is MG (greater than 20K) for the users. We have to click on Clustered column chart visualization … because we want an easily graphs to show easy comparison between multiple categories and their respective values. imagine AI 3D Models Mlearning.ai

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Mlearning.ai

JULY 29, 2023

Data visualization is an indispensable aspect of any data science project, playing a pivotal role in gaining insights and communicating findings effectively. What is data visualization? What is data visualization? Why do we choose Python data visualization tools for our projects?

Python 52

Python Data Visualization Data Science Exploratory Data Analysis 52