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Section 05 · A. Build the foundation

Data Science & ML Foundations

The applied ML workflow the technical screen assumes: clean data, build features, train, and evaluate honestly — without data leakage.

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25topics145interview Q&A102practice problems25videos

Topics in this section

Each topic pairs a video with the theory, interview questions & answers, and practice problems whose solutions unlock as you complete them.

05.1
Data Wrangling & EDA
Video7 Q&A5 practice22 min
05.2
Feature Engineering & Preprocessing
Video7 Q&A5 practice20 min
05.3
The ML Workflow & Model Selection
Video5 Q&A4 practice24 min
05.4
Core Algorithms (regression → trees → ensembles)
Video5 Q&A4 practice28 min
05.5
Evaluation & Metrics
Video5 Q&A4 practice26 min
05.6
Overfitting, Regularisation & Validation
Video5 Q&A4 practice24 min
05.7
Unsupervised Learning (clustering & dimensionality reduction)
Video5 Q&A4 practice24 min
05.8
Time Series & Forecasting
Video5 Q&A4 practice24 min
05.9
Recommender Systems
Video5 Q&A4 practice22 min
05.10
Model Interpretability & Fairness
Video5 Q&A4 practice24 min
05.11
Practical ML Engineering
Video5 Q&A4 practice24 min
05.12
ML Case Studies & Problem Framing
Video5 Q&A4 practice24 min
05.13
Gradient Boosting Deep Dive (XGBoost / LightGBM / CatBoost)
Video7 Q&A4 practice26 min
05.14
Feature Selection & Dimensionality in Practice
Video6 Q&A3 practice22 min
05.15
Imbalanced & Cost-Sensitive Learning
Video6 Q&A4 practice24 min
05.16
Bayesian ML & Uncertainty Quantification
Video6 Q&A4 practice24 min
05.17
Causal Inference & Uplift Modeling
Video6 Q&A4 practice26 min
05.18
Learning to Rank & Search Relevance
Video6 Q&A4 practice24 min
05.19
Applied NLP for Data Scientists
Video8 Q&A5 practice24 min
05.20
Anomaly Detection & Fraud Analytics
Video6 Q&A4 practice26 min
05.21
Survival Analysis, Churn & Lifetime Value
Video6 Q&A4 practice26 min
05.22
Online Learning, Bandits & Real-Time ML
Video6 Q&A4 practice26 min
05.23
AutoML & Hyperparameter Optimisation at Scale
Video6 Q&A4 practice24 min
05.24
Graph ML & Network Analytics
Video6 Q&A4 practice24 min
05.25
Data-Centric AI — Labels, Weak Supervision & Active Learning
Video6 Q&A4 practice24 min