| Playground |
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| NumPy |
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| Pandas |
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| DataFrame |
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| Stroop Effect |
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| Practice Problem |
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| Data Analysis Process |
Assessing
Cleaning
Plotting
Conclusion
Communicate |
| Case Study |
Wine Rating |
| Case Study |
Fuel Economy
Fuel Economy - Conclusion
Fuel Economy - Visuals
Fuel Economy - Merging Data |
| Investigate Dataset |
Titanic
Movies |
| ML Nanodegree |
Predict House Price
Finding Donors
Customer Segments |
| Decision Tree |
Titanic Survival Exploration |
| Naive Bayes |
Email Spam or Ham |
| Random Forest & Logistic Regression |
Predict Diabetes |
| Categorical and Numeric Data |
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| Text Feature Extraction |
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| Image Feature Extraction |
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| Lasso & Ridge Regression |
Vehicle Price |
| SVR |
Mileage |
| SVM |
Document Classification
Image Classification |
| Gradient Boost Regression / Decision Tree |
Automobile Price |
| Mean Shift Clustering |
Titanic Survivor |
| PCA |
Wine Rating |
| NLTK |
Getting Started with NLTK
Accessing Text Corpora and Lexical Resources |
| Spark |
Getting Started with Spark 2
London Crime Data
Soccer Data
Miscellaneous Operations
Introducing SparkSQL
Airline Data
Inferred And Explicit Schemas
Windowing Functions |
| Deep Learning |
Python Basics With Numpy
Logistic Regression with a Neural Network mindset
Neural Network with one hidden layer
Building Deep Neural Network
Deep Neural Network Application
Gradient Descent
XOR Network
Student Admission(Keras)
IMDB Review(Keras)
Convolution Layer Dimension
MNIST-Identify Digit |
| Improving Deep Neural Networks |
Initialization
Regularization
Gradient_Checking
Optimization_methods
Tensorflow |