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All Lessons
Free Lessons (6)
What is Data Science
The Buzzword "Data Science"
Data Science Lifecycle
Python for Data Science
Python Basics
Hello World
Variables and Data Types
Operators
Conditional Statements
Functions
Lists
Loops
Packages and Modules
Exercise: Average of a List
Solution Review: Average of a List
Exercise: Factorial of a Number
Solution Review: Factorial of a Number
Handling Tabular Data in Python
Importing Data in CSV Files with Pandas
Indexing and Selection
Filtering Data
Applying Functions to Data
Aggregating Data
Grouping Data
Pivot Tables
Plotting Data 1: Univariate Plots
Plotting Data 2: Bivariate Plots
Test Your Knowledge
Data Cleaning
Introduction to Data Cleaning
Data Types
Missing Values
Duplicates
Inconsistent Data
Outliers
Outlier Detection and Removal
Exercise: Cleaning NYC Property Sales
Solution Review: Cleaning NYC Property Sales
Exploratory Data Analysis
Introduction
Analyzing Individual Quantities
Exploring Categorical Quantities
Exploring Numerical Quantities
Correlation and Heatmaps
Exercise: Exploring E-Commerce
Solution Review: Exploring E-Commerce
Business Example: RFM Analysis in Python
Statistical Inference
The Basics of Statistical Inference
Confidence Intervals
Hypothesis Testing
One Sample t-Test
Two Sample t-Test
Paired t-Test
Predictive Models
A Simple Model
Model Fitting on a Loss Function
Gradient Descent
Optimization with Gradient Descent
Simple Linear Regression
Multiple Linear Regression
Evaluating Regression Models
Logistic Regression
Evaluating Logistic Regression Models
Exercise: Churn Prediction
Solution Review: Churn Prediction
Machine Learning
Why Machine Learning
Machine Learning Pipeline
Decision Trees
Random Forests
Support Vector Machines
Ensembles: Bagging vs Boosting
Clustering for Unsupervised Learning
K-Means on Two-Dimensional Data
K-Means on n-Dimensional Data
Test your Knowledge
Conclusion
Project
How to Predict the Traffic Volume Using Machine Learning
Data Science for Non-Programmers
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Test Your Knowledge
Test Your Knowledge
This lesson will test learners on concepts learned in this chapter.
We'll cover the following...
Quiz on Handling Data in Pandas
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