Ocean Protocol

SEPTEMBER 29, 2023

By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Pickl AI

JANUARY 3, 2024

EDA, imputation, encoding, scaling, extraction, outlier handling, and cross-validation ensure robust models. Exploratory Data Analysis (EDA): A foundation for success The initial step in feature engineering is to conduct a meticulous Exploratory Data Analysis. Steps of Feature Engineering 1.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Cross Validation 52

Pickl AI

FEBRUARY 12, 2024

What is cross-validation, and why is it used in Machine Learning? Cross-validation is a technique used to assess the performance and generalization ability of Machine Learning models. However, there are a few fundamental principles that remain the same throughout. Here is a brief description of the same.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Mlearning.ai

NOVEMBER 23, 2023

You may need to import more libraries for EDA, preprocessing, and so on depending on the dataset you’re dealing with. But you might need to do deep EDA and some data preprocessing in this step for feature selection and to ensure your data fits well into the models. STEP 1: Install the lazypredict library.

Supervised Learning 52

Supervised Learning Cross Validation EDA Machine Learning 52

Ocean Protocol

FEBRUARY 1, 2024

Challenge Overview Objective : Building upon the insights gained from Exploratory Data Analysis (EDA), participants in this data science competition will venture into hands-on, real-world artificial intelligence (AI) & machine learning (ML). It’s also a good practice to perform cross-validation to assess the robustness of your model.

Exploratory Data Analysis 52

Exploratory Data Analysis Cross Validation Data Science Machine Learning 52

Towards AI

JULY 19, 2023

Please refer to Part 1– to understand what is Sales Prediction/Forecasting, the Basic concepts of Time series modeling, and EDA I’m working on Part 3 where I will be implementing Deep Learning and Part 4 where I will be implementing a supervised ML model. This is part 2, and you will learn how to do sales prediction using Time Series.

Cross Validation 88

Cross Validation Clustering EDA Data Preparation 88

Towards AI

AUGUST 16, 2023

Data preparation: This step includes the following tasks: data preprocessing, data cleaning, and exploratory data analysis (EDA). Training: This step includes building the model, which may include cross-validation.

AI 81

AI AI Machine Learning Machine Learning 81