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Data Science Concepts

The repository contains all the machine learning, deep learning and NLP concepts with examples in python

💻 Machine learning concepts playlist: http://bit.ly/mlconcepts

✍🏼 Natural Language Processing(NLP) concepts playlist: http://bit.ly/nlpconcepts

Machine Learning

  1. Normalize data using Max Absolute & Min Max Scaling - https://youtu.be/wSgWf-lUdDU
  2. Standardize data using Z-Score/Standard Scalar - https://youtu.be/AmCkjGPmdvI
  3. Detect and Remove Outliers in the Data - https://youtu.be/Cw2IvmWRcXs
  4. Label Encoding for Categorical Attributes - https://youtu.be/YuzLkF7Ymf4
  5. One Hot Encoding for Categorical Attributes - https://youtu.be/LqMHkc_F1WA
  6. Target/Mean Encoding for Categorical Attributes - https://youtu.be/nd7vc4MZQz4
  7. Frequency Encoding & Binary Encoding - https://youtu.be/2oCfBpnWQws
  8. Extract Features from Datetime Attribute - https://youtu.be/PbyHFUVuqn8
  9. How to Fill Missing Values in Dataset - https://youtu.be/FEQpdgoH_pM
  10. Feature Selection using Correlation Matrix (Numerical) - https://youtu.be/1fFVt4tQjRE
  11. Feature Selection using Chi Square (Category) - https://youtu.be/6N9H9KxdZdk
  12. Feature Selection using Recursive Feature Elimination (RFE) - https://youtu.be/vxdVKbAv6as
  13. Repeated Stratified KFold Cross Validation - https://youtu.be/cChWbibT-JI
  14. How to handle Imbalanced Classes in Dataset - https://youtu.be/rVuUqpyPwEs
  15. Ensemble Techniques to improve Model Performance - https://youtu.be/qPN-S5Ltbm4
  16. Dimensionality Reduction using PCA vs LDA vs t-SNE vs UMAP - https://youtu.be/gk7ntPrxy-k
  17. Handle Large Data using pandas - https://youtu.be/bd_1T2JCr4M

Natural Language Processing

  1. Tokenization - https://youtu.be/ivCcY8JCxeY
  2. Stemming | Extract Root Words - https://youtu.be/O-SaH_dnb9A
  3. Lemmatization - https://youtu.be/uvKKEkYZcdw
  4. Part of Speech Tagging (POS) - https://youtu.be/n6j-T3_F9dI
  5. Text Preprocessing in NLP - https://youtu.be/Br5dmsa49wo
  6. Bag of Words (BOW) - https://youtu.be/dSce20oYIPY
  7. Term Frequency - Inverse Document Frequency (TF-IDF) - https://youtu.be/O9aAwvk6SNI
  8. Word2Vec - https://youtu.be/4DoJcQblpGQ
  9. Word Embedding | GloVe - https://youtu.be/6uxVtUMtqtk

Deep Learning

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The repository contains all the machine learning, deep learning and NLP concepts with examples in python

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