Comprehensive Machine Learning Interview Preparation

About Course

The Machine Learning Interview Preparation programme aims to equip learners with the knowledge and skills necessary for successful machine learning interviews. Learners will gain a deep understanding of essential machine learning concepts, algorithms, and techniques, preparing them to confidently tackle interview questions related to data science and machine learning roles.

Understand the role and responsibilities of a data scientist in an organizational context.
Apply cross-validation techniques to assess model performance.
Demonstrate proficiency in fundamental machine learning concepts.
Apply cross-validation techniques and evaluate model performance using various metrics.
Analyze and interpret ensemble boosting models and hierarchy clustering algorithms.

Course Content

Roles and Responsibilities of Machine Learning

Introduction to Machine Learning – Part A

Introduction to Machine Learning – Part B

Basics of Machine Learning – Part A

Basics of Machine Learning – Part B

Cross-validation Technique

Confusion Performance Metrics

Multiple linear regression

Weighted Gini Score

K-means Clustering

Naive Byes Algorithm

Random Forest Classifier Algorithm Parameters

KNN Model to Detect Presence of Tumour

Ensemble Models

Agglomerative Hierarchy Clustering Algorithm

Collaborative Filtering System for Movie Recommendations

Online Advertisement Classification

Final Thoughts on Machine learning Domain and Technology