Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. They collect, clean, and analyse data to extract actionable insights that help organisations make informed decisions.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

APRIL 3, 2025

From website clicks and social media interactions to sales figures and scientific measurements, information pours in from every direction. The real magic happens when we transform this noise into meaningful insights that drive decisions, uncover trends, and tell compelling stories. EDA: Calculate overall churn rate.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

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

Ocean Protocol

MARCH 11, 2024

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy.

Exploratory Data Analysis 52

Exploratory Data Analysis Machine Learning Machine Learning EDA 52

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

Pickl AI

SEPTEMBER 12, 2024

By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success. Data Science is the art and science of extracting valuable information from data.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Heartbeat

SEPTEMBER 28, 2023

Customer Feedback: Understanding why customers leave provides valuable information to improve your service. This dataset contains information about telecom customers, such as contract type, monthly fee, and whether the customer has canceled. Random Forest Classifier (rf): Ensemble method combining multiple decision trees.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52