Samiksha KolheforTeckbaker's Blogteckbakers.hashnode.dev·Dec 17, 2024Nemo Curator: Solution for Pre-training/Synthetic Data PreparationHello Techies👋! I’m Samiksha. I hope you all are doing amazing stuff. Welcome to another BlogCast About amazing and trending stuff in the market today: The Nemo Curator(The GPU-Accelerated Open Source Framework for Efficient Generative AI Model Data...5 likesGenerative AINemo Curator
Vaibhav Singhvaibhavcode.hashnode.dev·Dec 1, 2024Structured data prediction using Vertex AI PlatformIn this post, we delve into how to create a robust workflow for predicting a baby’s weight using structured data and Google Cloud's Vertex AI Platform. From data preparation to deploying a machine learning (ML) model, we’ll explore the process step b...Machine Learning
Fatima Jannetmahia.hashnode.dev·Oct 15, 2024Machine Learning Chapter 1: Data PreprocessingHey there! Welcome to Chapter 1 on Data Preprocessing! Before getting into Machine Learning, let me tell you what you'll need: Educational requirement: Just some high school math, DSA (in python) (Probability and statistics will help you a lot. I ...10 likes·983 readsMachine Learning (Python)machine learning template
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 6, 2024What is Correlation, When will it arise, and how to handle it, Explain it with a dataset. Also, what is a Correlation matrix?Correlation is a statistical measure that expresses the extent to which two variables are linearly related. It’s a common tool for determining how closely two quantities move in relation to one another. The correlation coefficient ranges from -1 to +...Data PreprocessingMachine Learning
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 6, 2024What is Multicollinearity, and when will it arises, Explain it with dataset example ?Multicollinearity is a statistical concept found in regression analysis where two or more independent variables in a model are highly correlated. This correlation means that one variable can be linearly predicted from the others with a high degree of...Data PreprocessingMachine Learning
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 6, 2024What is an Imbalanced Dataset?An imbalanced dataset refers to a dataset where the classes are not represented equally. In other words, one or more classes have significantly fewer instances than others in the dataset, which can lead to biased or inaccurate models, particularly in...Data PreprocessingMachine Learning
Prasun Dandapatprasunspace.hashnode.dev·Sep 29, 2024Comprehensive Guide to Data Preprocessing in Python for Machine LearningData preprocessing is a crucial step in the machine learning pipeline to ensure the data is clean, organized, and in a format suitable for training models. Here’s an overview of key topics typically included in data preprocessing: Topics in Data Prep...Machine Learning
Ojo Timilehincampeone.hashnode.dev·Sep 12, 2024Understanding and Preventing Data Leakage in Machine LearningImagine a student named Bauer who took an Algebra class with his classmates. Bauer paid attention during the lessons but may not completely understand the underlying principle of Algebra. Two weeks later, the teacher gave the class a test. Fortunatel...Model accuracy
Emeron Marcelleemerondomain.hashnode.dev·Sep 8, 2024Data Preprocessing in Machine Learning with Scikit-learnData preprocessing is a crucial step in the machine learning pipeline. It helps in preparing the data for modeling by transforming features, scaling data, handling missing values, and encoding categorical variables. In this post, we will explore comm...Python 3
Ojo Timilehincampeone.hashnode.dev·Sep 4, 2024Data Cleaning in Pandas: Handling Missing Categorical DataIntroduction Data cleaning is one of the most crucial aspects of the Machine learning lifecycle. It involves fixing erroneous, corrupted, duplicate, or incomplete data. It has been said that data scientists spend about 50%- 70% of their total project...Python
