Pickl AI

JANUARY 3, 2024

Feature engineering in machine learning is a pivotal process that transforms raw data into a format comprehensible to algorithms. Through Exploratory Data Analysis , imputation, and outlier handling, robust models are crafted. Text feature extraction Objective: Transforming textual data into numerical representations.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Cross Validation 52

Mlearning.ai

MARCH 15, 2023

Data storage : Store the data in a Snowflake data warehouse by creating a data pipe between AWS and Snowflake. Data Extraction, Preprocessing & EDA : Extract & Pre-process the data using Python and perform basic Exploratory Data Analysis. Please refer to this documentation link.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Pickl AI

MARCH 26, 2024

Here are some notable applications where KNN shines: Classification Tasks Image Recognition: KNN is adept at classifying images into different categories, making it invaluable in applications like facial recognition, object detection, and medical image analysis. Unlock Your Data Science Career with Pickl.AI

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

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

Pickl AI

DECEMBER 16, 2024

Documenting Objectives: Create a comprehensive document outlining the project scope, goals, and success criteria to ensure all parties are aligned. Making Data Stationary: Many forecasting models assume stationarity. Split the Data: Divide your dataset into training, validation, and testing subsets to ensure robust evaluation.

AI 52

AI AI Machine Learning Machine Learning 52

DataRobot Blog

DECEMBER 20, 2022

You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage. Rapid Modeling with DataRobot AutoML.

AI 59

AI AI Cross Validation Machine Learning 59

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52