Towards AI

JUNE 25, 2024

This practice vastly enhances the speed of my data preparation for machine learning projects. All you need to do is import them to where they are needed, like below - my-project/ - EDA-demo.ipynb - spark_utils.py # then in EDA-demo.ipynbimport spark_utils as sut I plan to share these helpful pySpark functions in a series of articles.

ML 75

ML ML EDA Data Wrangling 75

Dataconomy

JULY 28, 2023

Data preprocessing is essential for preparing textual data obtained from sources like Twitter for sentiment classification ( Image Credit ) Influence of data preprocessing on text classification Text classification is a significant research area that involves assigning natural language text documents to predefined categories.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

JULY 12, 2024

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. Jupyter notebooks are widely used in AI for prototyping, data visualisation, and collaborative work. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Heartbeat

MAY 29, 2023

In this article, we will explore the essential steps involved in training LLMs, including data preparation, model selection, hyperparameter tuning, and fine-tuning. We will also discuss best practices for training LLMs, such as using transfer learning, data augmentation, and ensembling methods.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

The MLOps Blog

MAY 31, 2023

The objective of an ML Platform is to automate repetitive tasks and streamline the processes starting from data preparation to model deployment and monitoring. So, we need to build a verification layer that runs based on a set of rules to verify and validate data before preparing it for model training.

ML 59

ML ML Algorithm Machine Learning 59

Kaggle

JULY 29, 2020

I’ve worked in the data analytics space for 15+ years but did not have prior knowledge of medical documents or the medical industry. For each query, an embeddings query identifies the list of best matching documents. The thought being to show researchers all data on a particular term or concept.

ETL 71

ETL Data Scientist Data Science Machine Learning 71

Dataconomy

APRIL 30, 2025

Exploratory data analysis (EDA) is a critical component of data science that allows analysts to delve into datasets to unearth the underlying patterns and relationships within. EDA serves as a bridge between raw data and actionable insights, making it essential in any data-driven project.

Exploratory Data Analysis 91

Exploratory Data Analysis EDA Data Analysis Data Analysis 91