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. Cleaning Data: Address any missing values or outliers that could skew results. Techniques such as interpolation or imputation can be used for missing data.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 2, 2023

Here, we’ll explore why Data Science is indispensable in today’s world. Understanding Data Science At its core, Data Science is all about transforming raw data into actionable information. It includes data collection, data cleaning, data analysis, and interpretation.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Analysis: This step involves applying statistical and Machine Learning techniques to analyse the cleaned data and uncover patterns, trends, and relationships.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Although it disregards word order, it offers a simple and efficient way to analyse textual data. TF-IDF (Term Frequency-Inverse Document Frequency) TF-IDF builds on BoW by emphasising rare and informative words while minimising the weight of common ones. What is Feature Extraction?

Machine Learning 52

Machine Learning Machine Learning Algorithm Deep Learning 52

Heartbeat

MAY 29, 2023

This step involves several tasks, including data cleaning, feature selection, feature engineering, and data normalization. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data. This can include user manuals, FAQs, and chatbots for real-time assistance.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78