Data Science Dojo

DECEMBER 14, 2023

The data sets are categorized according to varying difficulty levels to be suitable for everyone. How to tune LLM Parameters for optimal performance Shape your model’s performance using LLM parameters.

Natural Language Processing 195

Natural Language Processing Exploratory Data Analysis Machine Learning Machine Learning 195

Data Science Dojo

DECEMBER 14, 2023

The data sets are categorized according to varying difficulty levels to be suitable for everyone. Link to blog -> Datasets to uplift skills How to tune LLM Parameters for optimal performance Shape your model’s performance using LLM parameters.

Data Science 195

Data Science Natural Language Processing Machine Learning Machine Learning 195

Dataconomy

MAY 16, 2023

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

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 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. Most common R Libraries for Data Science In Data Science, you can find several R Libraries and perform different tasks.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 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