Pickl AI

APRIL 21, 2025

Cleaning and Preparing the Data (Data Wrangling) Raw data is almost always messy. This crucial step involves handling missing values, correcting errors (addressing Veracity issues from Big Data), transforming data into a usable format, and structuring it for analysis.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. The good news is that there are many skills that data scientists already have that are transferable to data engineering.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Becoming Human

MAY 15, 2023

Note : Now, Start joining Data Science communities on social media platforms. These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Mlearning.ai

JULY 9, 2023

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal Abstract Polars is a fast-growing open-source data frame library that is rapidly becoming the preferred choice for data scientists and data engineers in Python.

Data Analysis 52

Data Analysis Data Analysis Python Data Scientist 52

The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. Data on its own is not sufficient for a cohesive story. There are some outspoken critics , as well as passionate fans. documentation.

SQL 52

SQL Database Data Scientist Python 52

Pickl AI

NOVEMBER 21, 2024

Meanwhile, R stands out in Statistical Analysis and Data Visualisation , providing unmatched capabilities for advanced statistical modelling. For instance, engineers proficient in MATLAB can work seamlessly with Data Scientists using Python and Statisticians leveraging R.

Python 52

Python Cloud Computing Machine Learning Machine Learning 52

Heartbeat

DECEMBER 27, 2023

Numerous platforms can host our Python containerized application, such as Heroku , PythonAnywhere , Platform.sh , Google App Engine , Digitalocean app platform , and AWS Elastic Beanstalk. ', port = port) Our flask app — app.py With Docker enabling containerization of our app, we can move our application to any cloud provider.

Machine Learning 52

Machine Learning Machine Learning Python ML 52

AWS Machine Learning Blog

MARCH 27, 2025

Amazon SageMaker Canvas is a low-code no-code (LCNC) ML platform that guides users through every stage of the ML journey, from initial data preparation to final model deployment. Without writing a single line of code, users can explore datasets, transform data, build models, and generate predictions.

Python 98

Python Machine Learning Machine Learning ML 98

ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. This years event is no different, and heres a rundown of 15 fan-favorite speakers who are returning onceagain.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64