Published inTDS ArchiveMachine Learning Operations (MLOps) For BeginnersEnd-to-end Project ImplementationAug 29, 202438Aug 29, 202438
Published inTowards AIRetrieval-Augmented Generation (RAG) using LangChain, LlamaIndex, and OpenAIFrom Basic to AdvancedFeb 9, 20242Feb 9, 20242
Fine-Tune Large Language Model in a Colab NotebookA Step-by-Step Phi-2 Model Fine-tuningJan 22, 20242Jan 22, 20242
Univariate and Multivariate Imputation Techniques in Machine LearningImputing missing values (Null) is an important step in feature engineering because many machine-learning algorithms do not support missing…Jan 1, 2024Jan 1, 2024
Feature Scaling Using Standardization, Normalization and Robust ScalingFeature scaling is a technique in machine learning that transforms the values of features to a similar scale without losing the shape of…Dec 17, 2023Dec 17, 2023
Discretization or Numerical Feature EncodingDiscretization or binning is the process that transforms a numerical feature into a discrete feature. In simpler terms, it creates bins…Nov 21, 2023Nov 21, 2023
Mathematical Feature Transformation in Machine LearningMathematical/ Gaussian transformation is the method that transforms data distribution to Gaussian (normal) distribution.Nov 2, 2023Nov 2, 2023
How to Encode Categorical Features in Machine LearningCategorical features in the dataset can be challenging for machine learning and deep learning algorithms because these algorithms require…Oct 18, 2023Oct 18, 2023
Mastering SQL Commands in PythonAs a Data Professional, you should be proficient in SQL because it allows us to extract data from databases as per the requirement. Also…Sep 17, 2023Sep 17, 2023
Data Visualization Best PracticesLet’s understand Data Visualization Best Practices using the following visualization. The visualization is taken from…Jun 13, 2023Jun 13, 2023