How to Build Frequency Tables in Python (With Charts)
Learn how to create frequency tables in Python for both categorical and numerical data using Counter, pandas, and numpy — and visualize them with bar charts and histograms.
Hoda Osama
🧱 What You’ll Learn Here
📊 Foundations
Clear explanations of the statistics, linear algebra, and calculus you actually need — no more, no less.
🤖 ML Concepts
Build up from intuitive models to CNNs and neural networks — explained visually and step-by-step.
🧠 Problem Solving
Practice with real problems, detailed solutions, and structured problem-solving roadmaps.
Choosing the Right Graph: How to Visualize Your Data in Statistics
Learn which graph to use for categorical or quantitative data, and how bar charts, pie charts, and histograms help in understanding your data — especially in machine learning.
From Raw Data to Insight: Cases, Variables, and Frequency Tables
Learn how to organize raw data using cases, variables, data matrices, and frequency tables — the essential building blocks for data analysis and machine learning.
Descriptive vs Inferential Statistics – A Simple Start
Master the difference between descriptive and inferential statistics with simple examples, Python code, and real-world ML cases. Ideal for beginners in data science.