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Python Fundamentals for Data Science
Creating the Workspace - Jupyter Notebooks
Python Libraries
Learning NumPy - An Introduction
NumPy Basics - Creating NumPy Arrays and Array Attributes
NumPy Basics - Array Indexing and Slicing
NumPy Basics - Reshaping and Concatenation
NumPy Arithmetic and Statistics - Computations and Aggregations
NumPy Arithmetic and Statistics - Comparison and Boolean Masks
Exercises: NumPy
Learning Pandas - An Introduction
Pandas Core Components - The Series Object
Pandas Core Components - The DataFrame Object
Pandas DataFrame Operations - Read, View and Extract Information
Pandas DataFrame Operations - Selection, Slicing, and Filtering
Pandas DataFrame Operations - Grouping and Sorting
Pandas DataFrame Operations - Dealing With Missing and Duplicates
Pandas DataFrame Operations - Pivot Tables and Functions
Pandas: Further Readings and Cheat Sheet
Exercises: Pandas
Data Visualization - An Introduction
Data Visualization - Matplotlib Tips
Data Visualization Techniques - Scatter, Line, and Histogram
Data Visualization Techniques - Bar and Box Plot
Data Visualization Cheat Sheet
Quiz: Data Visualization
The Fundamentals of Statistics
Introduction
Statistical Features - Basics
Statistical Features - Working With Box Plots
Basics of Probability
Bayesian Statistics
Probability Distributions - An Introduction
Types of Distributions - Uniform, Bernoulli, and Binomial
Types of Distributions - Normal
Types of Distributions - Poisson and Exponential
Probability Distributions Recap
Statistical Significance
Quiz: Statistics
Machine Learning 101
Introduction
Understanding Machine Learning
Types of Machine Learning Algorithms
Machine Learning Algorithms I
Machine Learning Algorithms II
Quiz: Machine Learning Algorithms
Evaluating a Model
Quiz: Evaluating a Model
Key Points to Remember
Machine Learning Project Checklist
End-to-End Machine Learning Project
Introduction
Kaggle Challenge - Exploratory Data Analysis
Kaggle Challenge - Data Preprocessing
Kaggle Challenge - Data Transformation
Kaggle Challenge - Machine Learning Models
Kaggle Challenge - Fine Tune Parameters
Kaggle Challenge - Present, Launch and Maintain the System
Assignment
Further Study Material
The Real Talk
How to Get That High-Paying Job
Imposter Syndrome
Final Thoughts
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Grokking Data Science
Introduction
We'll cover the following...
Statistics is a
key component
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