Data Science 🐍 Install and Overview
Data Science Course: https://github.com/APMonitor/data_sci... (Source Code on GitHub)
Welcome to the course on data science with Python. This course steps through basic data science and machine learning skills to analyze data and create actionable information. It address major steps of the Cross-Industry Standard Process for Data Mining Cycle (CRISP-DM) that has 6 phases.
1. Business Understanding - purpose of the data science project
2. Data Understanding - assess available data to address the business case
3. Data Preparation - exploratory data analysis, feature engineering, and transformations
4. Modeling - select and train regressors or classifiers
5. Evaluation - test models with various criteria
6. Deployment - production phase to deploy models in data pipelines
The 12 exercises are designed to be completed in 2-3 hours (15-20 minutes each) but sections can be skipped if you already have the background knowledge.
Data Science 🐍 Course Overview (this video)
Data Science 🐍 Import / Export
Data Science 🐍 Analyze
Data Science 🐍 Visualize
Data Science 🐍 Prepare Data
Data Science 🐍 Regression
Data Science 🐍 Features
Data Science 🐍 Classification
Data Science 🐍 Interpolation
Data Science 🐍 Solve Equations
Data Science 🐍 Differential Equations
Data Science 🐍 Time Series
Data Science 🐍 Final Project
It is best to follow the lessons in these steps because the later lessons build upon the information from the prior lessons.
