Data Exploration

Pandas

Shape

Describe

Value_Counts

Pre Processing (Normalization)

NLTK

Regular Expression Replacement

Removing Punctuation

Removing Stop Words

Tokenization

Stemming

Lemmatization

Vectorization

N GRAMS

One Hot

Count Vectorization

Inverse Frequency

TF-IDF

WORD2VEC

Algorithms/Libraries

Machine Learning: Scikit-Learn

Feature Engineering

• Categorical Encoding
• Feature Evaluation
• Feature Transformation
• Feature Generation
• Feature Selection

Model Building, Training and Prediction

• Random Forest
• Cross Validation
• Gradient Boosting Grid Search

DeepLearning: Keras, Tensorflow, Pytorch, fast.ai

• Dense Ckassifier
• Convolutional Classifier
• Recurrent Classifier
• LSTM Classifier
• Bi-Directional LSTM Classifier
• Stacked Recurrent Classifier
• Seq2seq
• Attention
• Transfer Learning
• GRU
• Functional API – Multi-ConvNet

AutoML: GCP, H2O.ai

Model Evaluation

ROC Curve

Confusion Matrix

Accuracy

Precision

Recall

References:

https://www.linkedin.com/learning/nlp-with-python-for-machine-learning-essential-training?trk=share_ios_course_learning

https://www.linkedin.com/learning/nlp-with-python-for-machine-learning-essential-training?trk=share_ios_course_learning

https://learning.oreilly.com/library/view/deep-learning-illustrated/9780135116821/

https://www.linkedin.com/learning/text-analytics-and-predictions-with-python-essential-training?trk=share_ios_course_learning

https://www.linkedin.com/learning/text-analytics-and-predictions-with-r-essential-training?trk=share_ios_course_learning

https://www.linkedin.com/learning/processing-text-with-python-essential-training?trk=share_ios_course_learning

https://www.linkedin.com/learning/processing-text-with-r-essential-training?trk=share_ios_course_learning

https://learning.oreilly.com/library/view/hands-on-machine-learning/9781492032632/

https://www.kaggle.com/learn/natural-language-processing

https://learning.oreilly.com/videos/deep-learning-for/9780134851921