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Tutorials
Data Preparation
Data Formats/Types
Text and Record Data
Data Cleaning
Preparing data in Python
Prepping Record Data in Python
Prepping Text Data in Python
Creating n-gram Dataframes in Python
Preparing data in R
Prepping Record Data in R
Prepping Text Data in R
Creating Training and Testing Data for Modeling
Data Gathering and API’s
Basic Webpage Scraping
APIs in Python
APIs in R
How to Use the Twitter API
Twitter API in Python
Twitter API in R
Twitter Mining and ARM with R
Stemming, Lemming, Norm – Text Data Prep
Machine Learning
ML Math
Unsupervised Learning
Clustering
Adv. Kmeans/EM/Math/Code
Clustering in Python
Clustering in R
Kmeans By Hand in Python
ARM Concepts
ARM in R
Simple PCA Using Python/Sklearn
Latent Dirichlet Allocation
Supervised Learning
Decision Trees
Decision Trees in Python
Decision Trees in R
Naive Bayes
Bayesian Methods in Python/Sklearn
MN Naive Bayes in Python for Text Data
Naive Bayes in R
Support Vector Machines
Python ML with Stem, Lem, Vis, and More
Regression: Linear and Logistic
Linear/Multiple Linear Regression Sklearn/Python
Linear Regression by Hand with Gradient D and Vis
Logistic Regression by Hand with GD
Logistic Regression Python/Sklearn
Neural Networks
Sklearn Ordinal Encoder
XOR in NN
Image Processing with Kernels
NN Example 3D Data Binary Label
NN Multinomial – BP – Cat Cross Ent – One-Hot
LSTM NN Transformer English – Spanish Translation
Sentiment Analysis with Log Reg, ANN, CNN, Word Embeddings (Glove and other)
TensorFlow/Keras
Intro to Keras Example 1
TF/Keras Example with Record Dataset
CNN – Conv2D – TF/Keras
ANN – CNN – RNN – LSTM in Keras
RNN-LSTM – Tensorflow/Keras – Image Classification
LSTM Encoder-Decoder Language Translation NN
CNN “By Hand” in Python vs. Keras
Data Visualization in Python
Data Visualization in R
R Code Example: Data Lifecycle in R
HOW TO: Git and GitHub
About Us
Sklearn Ordinal Encoder
This code
on this page
contains an example of using the
Sklearn Oridinal Encoder
in Python.