Hackers Realm Blog

Word2Vec is a NLP technique for learning word embeddings which are dense numerical representations of words in a continuous vector space

TF-IDF is a numerical representation often used in NLP and information retrieval to evaluate the importance of a word in a document

A bag-of-words is a representation of text that describes the occurrence of words within a document.

Explore Dimensionality Reduction: PCA vs LDA vs t-SNE vs UMAP in Python. Compare techniques to transform high-dimensional data.

Boost model performance with Ensemble Techniques in Python. Explore bagging, boosting, & stacking to create powerful machine learning models

Handling imbalanced classes involves applying techniques such as resampling, class weighting, and algorithm selection to mitigate the bias.

Filling missing values in a dataset is an essential step in data preprocessing to ensure the accuracy and reliability of your analysis.

Detecting and removing outliers is an important step in data analysis and can help improve the accuracy of statistical models.

Mean encoding, also known as target encoding, is a technique used to encode categorical attributes in machine learning models