Data Science - Complete Guide

The Core Idea

Data Science combines statistics, programming and domain knowledge to extract insights from data. From exploratory data analysis to machine learning – the correct application of data science methods allows for informed business decisions.

Data Analysis with Python

Machine Learning Workflow

Data Quality: Always verify data quality before analysis.

Exploratory Analysis: Conduct detailed EDA (Exploratory Data Analysis) before modelling.

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Validation: Use cross-validation to evaluate the model

Documentation: Document all analytical steps.

Reproducibility: Use data and code versioning.

Frequently asked questions

What is deep learning?

Deep learning is a family of machine learning methods that use multi-layer neural networks.

What depends on the type of task? For classification - ?

It depends on the type of task: for classification – Random Forest, XGBoost, Neural Networks; for regression – Linear Regression, Gradient Boosting; for clustering – K-Means, DBSCAN; for NLP – Transformers. Start with simple models (baseline), then move to more complex ones. Use cross-validation for model comparison.

What should be used: resampling (oversampling minority class, undersampling majority class)?

Use: resampling (oversampling minority class, undersampling majority class), SMOTE for synthetic samples, adjusting the threshold for classification, using metrics (precision, recall, F1) instead of accuracy, class weights in models, and ensemble methods. The choice depends on the specific task and data distribution.

How does Data Science combine technical skills with ?

Data Science combines technical skills with an understanding of business to extract valuable insights from data. A correct workflow from data collection to model deployment ensures successful application of data science in real projects.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation