Data Science and Machine Learning Bootcamp
Join the world's most comprehensive and practical data science course to learn data science, machine learning, deep learning, and artificial intelligence (AI)!
Welcome!
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Discussion Boards (Support)
Introduction to using data in 2021
Why choose Python (differences between Python and R)
Installing Visual Studio Code
Python for Data Engineering
How Machine Learning & Deep Learning Work
Understanding Predictive Analytics and Prescriptive Analytics
Overview of Scraping Data and Creating Data
Definition of Algorithms Definition of Data Structures
Blocks, Scope & Conditionals
Variables and Data Types
Dictionaries
Algorithm Practice
Basics of Data Science to Solve Problems
Tools for Data Science, Applications for Data Analysis and Languages for Data Ccience
Selecting Optimal Data Graphics, Communicating with Color and C Analyses for Data Science
Clustering, Classifying and Anomaly Detection
Data Preparation Basics Filtering and Selecting
Grouping and Aggregation & Conditional Statements
The Data Collection Process
Practical Data Science Applications: Getting Data in Using Web Scraping
Mocking Inputs / Pagination - Search and Filters
Saving, Reading / Writing to a File
Data Sourcing via Web Scraping
Data Parsing
Cleaning and Stemming Textual Data
Project- Scraping Yellow Pages
Descriptive Analyses and Predictive Models
Anomaly Detection, Dimensionality Reduction, Feature Selection and Creation
Mathematics for Data Science: Algebra & Calculus
Acting on Data Science, Interpretability Actionable Insights
Collaborative Analytics with Plotly
Opening Files Text vs. Binary Mode
Practical Data Visualization