aswintechguy / data-science-concepts

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

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