Index
A
B
- back-propagation
- Bagging
- Bell Curve
- best practices
- best practices, for coding
- about / Best practices for coding
- codes, commenting / Commenting the codes
- functions, defining for substantial individual tasks / Defining functions for substantial individual tasks
- examples, of functions / Defining functions for substantial individual tasks, Example 3
- hard-coding of variables, avoiding / Avoid hard-coding of variables as much as possible
- version control / Version control
- standard libraries / Using standard libraries, methods, and formulas
- methods / Using standard libraries, methods, and formulas
- formulas / Using standard libraries, methods, and formulas
- boosting
- boxplots
- broker / Persisting information with database systems
- business context
C
- categorical data
- Celery library
- chi-square test / Best practices for statistics
- Classification and Regression Trees (CART) algorithm / Decision trees
- classification models
- client layer / Deployment layer
- client requests
- clustering
- clustering, fine-tuning
- clustering, implementing with Python
- coding
- communication
- contingency table
- convexity
- convolutional network
- correlation
- correlation coefficient
- Correlation Matrix
- correlation similarity metrics
- covariance / Correlation similarity metrics and time series
- Cumulative Density Function
- curl command
- Customer Churn Model
D
E
F
G
H
I
J
K
- K-means ++ / K-means clustering
- k-Means clustering
- K-means clustering
- k-medoids
- kernel function
- knowledge matrix, predictive modelling
L
M
N
O
P
- p-values
- pandas
- parameters, random forest
- pip
- prediction service
- predictive analytics
- predictive modelling
- predictor variables
- Principal Component Analysis (PCA)
- Probability Density Function
- probability distributions
- pseudo-residuals / Gradient boosted decision trees
- PySpark
- pyspark
- Python packages
- Python packages, for predictive modelling
- Python requests library
R
S
T
- t-statistic
- t-test / Best practices for statistics
- t-test (Student-t distribution)
- task matrix, predictive modelling
- TensorFlow library
- term-frequency-inverse document frequency (tf-idf) / Extracting features from textual data
- textual data
- time series
- time series analysis
- transformations and operations
- tree methods
- true positive rate (TPR)
- two-tailed test
U
V
W
- Wald test / Wald test
- Web Server Gateway Interface (WSGI)
X
Z
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