Introduction to Statistics and Data Science
Introduction to Statistics and Data Science
4 months ago
github.io
Designed for anyone with interest in data science, this course will give you a complete data science training that covers statistics, mathematics, python and machine & deep learning. Here are some more details of what you'll learn: 1. How to code in Python for statistical analysis, perform linear and logistic regressions 2. How to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn 3. How to unfold the power of deep neural networks 4. How to pre-process data S
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🎯 THE MATH ROADMAP FOR DATA SCIENCE! Ever wondered what kind of math you actually need to master for Data Science? 🤔 � Here’s your step-by-step roadmap — and this cheatsheet covers every piece of it 🔥 📘 1️⃣ Sets & Functions� Start with the basics — sets, unions, intersections, and functions.� You’ll need this to understand how data points relate to each other. 🧮 2️⃣ Linear Algebra� This is the backbone of every machine learning model.� 👉 Learn about matrices, vectors, dot products, eigenva
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