Pickl AI

JANUARY 3, 2024

EDA, imputation, encoding, scaling, extraction, outlier handling, and cross-validation ensure robust models. Time features Objective: Extracting valuable information from time-related data. Missing value imputation Objective: Addressing missing data to prevent information loss. Steps of Feature Engineering 1.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Cross Validation 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

Pickl AI

SEPTEMBER 18, 2024

This technique is widely used across various fields, including economics, finance, biology, engineering, and social sciences, to make predictions and inform decision-making. It helps in understanding relationships between variables, making predictions, and informing decision-making processes.

EDA 52

EDA Exploratory Data Analysis Hypothesis Testing Cross Validation 52

DrivenData Labs

APRIL 10, 2024

For more information, you can read the competition's Problem Description. Summary of approach: In the end I managed to create two submissions, both employing an ensemble of models trained across all 10-fold cross-validation (CV) splits, achieving a private leaderboard (LB) score of 0.7318.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

JULY 12, 2024

Computer Vision This is a field of computer science that deals with the extraction of information from images and videos. Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset. NLP tasks include machine translation, speech recognition, and sentiment analysis.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

FEBRUARY 12, 2024

It involves selecting, extracting, and transforming raw data into informative features that capture the underlying patterns and relationships in the data. What is cross-validation, and why is it used in Machine Learning? However, there are a few fundamental principles that remain the same throughout.

Data Science 52

Data Science Cross Validation Machine Learning 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 Data Science Cross Validation Machine Learning 52