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

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

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. Random Forest Classifier (rf): Ensemble method combining multiple decision trees.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52

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. Here is a brief description of the same.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. E Ensemble Learning: A technique combining multiple models to improve a Machine Learning system’s overall performance and robustness.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52