Pickl AI

JULY 12, 2024

Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset. EDA guides subsequent preprocessing steps and informs the selection of appropriate AI algorithms based on data insights. Popular models include decision trees, support vector machines (SVM), and neural networks.

Artificial Intelligence 52

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Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) Modeling & Algorithms: Applying statistical models (like regression, classification, clustering) or Machine Learning algorithms to identify deeper patterns, make predictions, or classify data points.

Data Analysis 52

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Pickl AI

MAY 30, 2024

Also Read: Explore data effortlessly with Python Libraries for (Partial) EDA: Unleashing the Power of Data Exploration. Each phase, from data collection and cleaning to analysis and visualisation, is critical in ensuring the outcomes’ accuracy, reliability, and actionable nature, thus driving informed decision-making.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning.

Data Analyst 52

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Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. However, there are a few fundamental principles that remain the same throughout.

Data Science 52

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Heartbeat

SEPTEMBER 28, 2023

Load and Explore Data We load the Telco Customer Churn dataset and perform exploratory data analysis (EDA). EDA is essential for gaining insights into the dataset’s characteristics and identifying any data preprocessing requirements. Are there clusters of customers with different spending patterns? #3.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52