Programming-notebooks-library

These are not my works, instead it is programming notebooks I learned from (most of them is an Udacity works).

Name		Name	Last commit message	Last commit date
Latest commit History 77 Commits
AB Testing		AB Testing
Confidence Intervals		Confidence Intervals
Hypothesis Testing		Hypothesis Testing
Logistic Regression		Logistic Regression
Regression		Regression
Sampling Distributions		Sampling Distributions
data		data
multiple linear regression		multiple linear regression
01. Python Variables [demonstration].ipynb		01. Python Variables [demonstration].ipynb
02. Data Types [demonstration].ipynb		02. Data Types [demonstration].ipynb
03. For Loops [demonstration].ipynb		03. For Loops [demonstration].ipynb
04. Lists and Loops [demonstration].ipynb		04. Lists and Loops [demonstration].ipynb
05. List Comprehensions [demonstration].ipynb		05. List Comprehensions [demonstration].ipynb
06. Python's random Library [demonstration].ipynb		06. Python's random Library [demonstration].ipynb
07. Simulating Coin Flips [playground].ipynb		07. Simulating Coin Flips [playground].ipynb
08. Functions [demonstration].ipynb		08. Functions [demonstration].ipynb
09. Simulating Probabilities [demonstration].ipynb		09. Simulating Probabilities [demonstration].ipynb
10. Python Control Flow [demonstation].ipynb		10. Python Control Flow [demonstation].ipynb
1_math_in_python_demonstration.ipynb		1_math_in_python_demonstration.ipynb
2D Arrays and the Robot World, demonstration.ipynb		2D Arrays and the Robot World, demonstration.ipynb
2D Iteration, demonstration.ipynb		2D Iteration, demonstration.ipynb
2_uniform_distribution.ipynb		2_uniform_distribution.ipynb
3_function_improvements.ipynb		3_function_improvements.ipynb
4_visualize_uniform_distribution.ipynb		4_visualize_uniform_distribution.ipynb
5_visualize_discrete_distribution.ipynb		5_visualize_discrete_distribution.ipynb
6_1D_selfdrivingcar.ipynb		6_1D_selfdrivingcar.ipynb
7_2D_selfdrivingcar.ipynb		7_2D_selfdrivingcar.ipynb
8_central_limit_theorem_demo.ipynb		8_central_limit_theorem_demo.ipynb
Accumulating Errors.ipynb		Accumulating Errors.ipynb
Accuracy and Misclassification.ipynb		Accuracy and Misclassification.ipynb
Approximating the Integral.ipynb		Approximating the Integral.ipynb
Array Iteration and Stopping, exercise.ipynb		Array Iteration and Stopping, exercise.ipynb
Arrays, demonstration.ipynb		Arrays, demonstration.ipynb
Average Brightness.ipynb		Average Brightness.ipynb
Classification.ipynb		Classification.ipynb
Feature Vectors.ipynb		Feature Vectors.ipynb
Finding Edges and Custom Kernels.ipynb		Finding Edges and Custom Kernels.ipynb
Green Screen Car.ipynb		Green Screen Car.ipynb
HSV color conversion.ipynb		HSV color conversion.ipynb
Homepage Experiment Data.ipynb		Homepage Experiment Data.ipynb
Images as Numerical Data.ipynb		Images as Numerical Data.ipynb
Implement an Accelerometer.ipynb		Implement an Accelerometer.ipynb
Integrating Accelerometer Data.ipynb		Integrating Accelerometer Data.ipynb
Integrating Rate Gyro Data.ipynb		Integrating Rate Gyro Data.ipynb
Intro to Sets.ipynb		Intro to Sets.ipynb
Intro_to_dictionaries.ipynb		Intro_to_dictionaries.ipynb
Keeping Track of x and y (solution).ipynb		Keeping Track of x and y (solution).ipynb
Looking up Trig Ratios.ipynb		Looking up Trig Ratios.ipynb
Plotting Elevator Acceleration.ipynb		Plotting Elevator Acceleration.ipynb
Plotting Position vs Time.ipynb		Plotting Position vs Time.ipynb
Pre-processing Examples.ipynb		Pre-processing Examples.ipynb
Programming Bayes' Rule, exercise.ipynb		Programming Bayes' Rule, exercise.ipynb
Programming Probabilities, exercise.ipynb		Programming Probabilities, exercise.ipynb
README.md		README.md
Sampling Distributions - 16 - Law of Large Numbers.ipynb		Sampling Distributions - 16 - Law of Large Numbers.ipynb
Sampling Distributions - 9 - Create Your Own Sampling Distribution Solution.ipynb		Sampling Distributions - 9 - Create Your Own Sampling Distribution Solution.ipynb
Simulating from the Null.ipynb		Simulating from the Null.ipynb
Speed from Position Data.ipynb		Speed from Position Data.ipynb
Standardizing the Data.ipynb		Standardizing the Data.ipynb
Total Probability, exercise.ipynb		Total Probability, exercise.ipynb
Traditional Confidence Intervals Screencast.ipynb		Traditional Confidence Intervals Screencast.ipynb
Understanding the Derivative.ipynb		Understanding the Derivative.ipynb
Visualizing RGB Channels.ipynb		Visualizing RGB Channels.ipynb
Visualizing the Data.ipynb		Visualizing the Data.ipynb
discrete_probability_exercise.ipynb		discrete_probability_exercise.ipynb
helpers.py		helpers.py
helpers2.py		helpers2.py
lists_timing_and_performance.ipynb		lists_timing_and_performance.ipynb
other_data_structures.ipynb		other_data_structures.ipynb
parallel_park.pickle		parallel_park.pickle
performance_of_sets_and_dictionaries.ipynb		performance_of_sets_and_dictionaries.ipynb
regression		regression
right angle robot solution.ipynb		right angle robot solution.ipynb
strings_and_lists.ipynb		strings_and_lists.ipynb
why use numpy arrays.ipynb		why use numpy arrays.ipynb

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