Purpose

This assessment is designed for freshers with 0–1 years of experience seeking roles in AI and data science within the IT, Software & ITeS industry. Its main goal is to evaluate foundational knowledge and skills in machine learning, data processing, and statistical analysis.

Overview

The assessment consists of questions targeting key concepts in AI and data science, suitable for freshers aiming for entry-level roles. It evaluates core skills such as understanding neural networks, data preprocessing, and model evaluation techniques. The test also measures candidates' ability to handle data through feature selection and scaling, comprehend machine learning algorithms, and apply statistical methods. Additionally, it assesses knowledge of NLP and ensemble techniques, ensuring a comprehensive evaluation of foundational data science capabilities. The assessment is structured to identify candidates' readiness for roles requiring analytical and problem-solving skills in AI and machine learning.

• Industry: IT, Software & ITeS
• Level: Fresher
• Tag: AI - Data Scientist
• Total Questions: 25

Skills

• Neural Networks
• Text Data Processing
• Categorical Data Handling
• Hyperparameter Tuning
• Regression Analysis
• Feature Selection
• Clustering
• Model Generalization
• Regularization
• Imbalanced Data Handling
• Confusion Matrix Analysis
• Activation Functions
• Cross-Validation
• Dimensionality Reduction
• Binary Classification
• Natural Language Processing
• Ensemble Learning
• Statistical Analysis
• Feature Scaling
• K-Nearest Neighbors
• Linear Regression
• Overfitting
• Exploratory Data Analysis

Ideal Roles

• Junior Data Scientist
• AI Engineer
• Machine Learning Engineer
• Data Analyst