ODSC - Open Data Science

AUGUST 15, 2023

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. After that, move towards unsupervised learning methods like clustering and dimensionality reduction.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering. NLP skills have long been essential for dealing with textual data.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

JULY 18, 2023

Common libraries in Python, such as pandas and NumPy, are essential for data cleaning, preprocessing, and transformation. Gain experience in working with datasets, data wrangling, and data visualization. Study machine learning: Understand the principles and algorithms of machine learning.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 18, 2023

Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Data Manipulation and Preprocessing Proficiency in data preprocessing techniques, feature engineering, and data wrangling to ensure the quality and reliability of input data.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2023

The programming language can handle Big Data and perform effective data analysis and statistical modelling. Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. How is R Used in Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52