ODSC - Open Data Science

DECEMBER 7, 2023

You’ll cover the integration of LLMs with advanced algorithms in DataGPT, with an emphasis on their collaborative roles in data analysis. In this session, you’ll see how the Tangent Information Modeler (TIM) offers a game-changing approach with efficient and effective feature engineering based on Information Geometry.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

Dataconomy

MAY 16, 2023

By leveraging their technical skills and expertise, they enable organizations to harness the power of data and make informed decisions based on predictive models and intelligent systems. Skills and qualifications required for the role Data scientists require a diverse set of skills and qualifications to excel in their role.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively. They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

MARCH 20, 2024

Essential technical skills Understanding of statistics and probability A strong foundation in statistics and probability theory forms the bedrock of Data Science. Mastery of statistical concepts equips professionals to make informed decisions and draw accurate conclusions from empirical observations.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Here are some key areas often assessed: Programming Proficiency Candidates are often tested on their proficiency in languages such as Python, R, and SQL, with a focus on data manipulation, analysis, and visualization. Explain the concept of feature engineering in Maachine Learning.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

learn data science

OCTOBER 12, 2020

Summary View Analytics Chart Data Wrangling Dashboard Parameter Summary View Reference lines for Mean & Midian Now you can see the mean and the median values as reference lines on top of the histogram charts for numerical columns. I’m super excited to announce Exploratory v6.2! ??? Typically, you use P-Value as the threshold.

Data Wrangling 52

Data Wrangling Hypothesis Testing Analytics Analytics 52

Pickl AI

JULY 10, 2023

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. Packages like dplyr and tidyr offer a wide range of functions for filtering, sorting, aggregating, merging, and reshaping data.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52