Articles by tag: data-science

Kaggle Lessons: How to Reach the Top 12% with 158 Attempts | ML

How to Overcome Defeat in a Kaggle Competition and Enter the Top 12%? I Share Three Lessons on Working with Multiple Models, Blending, and Hyperparameters. Learn How Extensive Experience Shapes an Expert.

Data Science in manufacturing: digital thread and data analytics

How the digital thread and twins are transforming industry. Six Data Science use cases for reducing defects and predictive maintenance. Detailed analysis.

Mathematics for Data Science: courses 2026 | Professional growth

Why has mathematics become mandatory for Data Scientist in 2026? Overview of current courses and skill verification strategy. Choose a program for salary growth!

Data Scientist from Scratch: Free Program

Master Data Science for free in 8–10 months. Complete roadmap: from CS basics to TensorFlow and AirFlow. Start learning and look for junior vacancies today.

Moment Generating Function: formulas and properties

Study the moment generating function for computing moments of distributions. Taylor series expansion, properties for sums, example with exponential distribution. For developers and data science analysts.

Double argsort for ranks of NumPy arrays

Figure out why argsort(argsort(x)) gives element ranks. Full mathematical proof, code examples, and comparison with rankdata. For data scientists and ML engineers.

Multiple Regression in Python: scikit-learn

Study multiple linear regression on the Advertising dataset. Coefficients, RMSE/R² metrics, residual diagnostics. Code and interpretation for middle developers.

Promotion Evaluation without A/B: Diff-in-Diff and PSM

Learn how to evaluate the effect of open promotions without A/B tests: Diff-in-Diff, thematic control, and Propensity Score Matching. Calculation examples and code for analysts.

Collider bias in data science: simulation of the effect

Learn how collider filtering creates false correlations in data. Python simulations of uniform and normal distributions. Avoid errors in analysis — read and apply in practice.

VWE and CUPED in A/B tests: variance reduction

Learn when VWE complements CUPED to increase the sensitivity of A/B tests. RMSE simulations, code examples, and use cases. For data scientists and analysts.

ML Courses 2026: top for junior

Choose a machine learning course to start in IT. Comparison of 6 programs: prices, durations, Python/PyTorch skills, MLOps. Salaries from 130k rub. Start learning and enter the profession.