Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. To perform exploratory data analysis effectively, data scientists must have a strong understanding of math and statistics.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Data Science Dojo

AUGUST 28, 2023

Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Exploratory Data Analysis (EDA) Data collection: The first step in LLMOps is to collect the data that will be used to train the LLM. Why is LLMOps Essential?

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Pickl AI

JUNE 5, 2025

Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical. Validation techniques ensure models perform well on unseen data.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

AUGUST 29, 2023

The process of statistical modelling involves the following steps: Problem Definition: Here, you clearly define the research question first that you want to address using statistical modeling. Data Collection: Based on the question or problem identified, you need to collect data that represents the problem that you are studying.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. diagram Using ChatGPT to build system diagrams — Part II Generate C4 diagrams using mermaid.js

AI 52

AI AI Data Analysis Data Analysis 52