Hackers Realm
Scraping IMDB Top Movies using Beautiful Soup | Web Scraping Tutorial | Python
Beautiful Soup is a powerful tool that simplifies the process of web scraping by allowing users to parse and navigate HTML and XML document
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Hackers Realm Blog
Hackers Realm
- Aug 21
- 10 min
Python GUI Chat Application | Python
Create a Python GUI Chat App! Learn tkinter for GUI & socket programming for server-client interface. Build interactive chat apps in Python.
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Hackers Realm
- Aug 21
- 5 min
How to Create a Chatbot Application using Python | Chatterbot
The objective is to build a chatbot application with chatterbot using python. The chatbot can work in retrieval based and generative based.
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Hackers Realm
- Aug 21
- 5 min
Learning Rate Scheduler | Keras Tensorflow | Python
A learning rate scheduler is a method used in deep learning to try and adjust the learning rate of a model over time to get best performance
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Hackers Realm
- Aug 21
- 9 min
Transfer Learning using Pretrained Model | MNIST | Keras Tensorflow | Python
Transfer learning allows models to harness the insights gained from one task and apply them to new, distinct tasks.
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Hackers Realm
- Aug 21
- 7 min
Data Augmentation for Image Data | Keras Tensorflow | Python
Data augmentation is a fundamental technique to enhance the diversity and quality of the training data by applying various transformations
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Hackers Realm
- Aug 20
- 5 min
Extract Features from Audio File | MFCC | Deep Learning | Python
MFCC stands for Mel-Frequency Cepstral Coefficients.It is a widely used feature extraction technique in the field of audio signal processing
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Hackers Realm
- Aug 20
- 5 min
Extract Features from Image using Pretrained Model | Deep Learning | Python
Extracting features from images using a pre-trained model is common technique in transfer learning which saves time and improve performance.
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Hackers Realm
- Aug 20
- 15 min
Text Preprocessing Techniques in NLP | Complete Tutorial | Python
Text preprocessing involves cleaning and transforming raw text data into a format that is more suitable for analysis and machine learning
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Hackers Realm
- Aug 7
- 8 min
Word Embedding using GloVe | Feature Extraction | NLP | Python
Explore GloVe word embedding for NLP in Python. Learn feature extraction, transforming words into vector representations. #GloVe #Python
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Hackers Realm
- Aug 7
- 4 min
Feature Extraction using Word2Vec | NLP | Python
Word2Vec is a NLP technique for learning word embeddings which are dense numerical representations of words in a continuous vector space
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Hackers Realm
- Jul 31
- 5 min
Feature Extraction using Term Frequency - Inverse Document Frequency (TF-IDF) | NLP | Python
TF-IDF is a numerical representation often used in NLP and information retrieval to evaluate the importance of a word in a document
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Hackers Realm
- Jul 31
- 4 min
Feature Extraction of Text Data using Bag of Words | NLP | Python
A bag-of-words is a representation of text that describes the occurrence of words within a document.
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Hackers Realm
- Jul 24
- 8 min
Dimensionality Reduction using PCA vs LDA vs t-SNE vs UMAP | Machine Learning | Python
Explore Dimensionality Reduction: PCA vs LDA vs t-SNE vs UMAP in Python. Compare techniques to transform high-dimensional data.
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Hackers Realm
- Jul 24
- 10 min
Ensemble Techniques in Machine Learning | Python
Boost model performance with Ensemble Techniques in Python. Explore bagging, boosting, & stacking to create powerful machine learning models
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Hackers Realm
- Jul 17
- 8 min
Handle Imbalanced classes in Dataset | Machine Learning | Python
Handling imbalanced classes involves applying techniques such as resampling, class weighting, and algorithm selection to mitigate the bias.
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Hackers Realm
- Jul 17
- 11 min
How to Fill Missing Values in Dataset | Machine Learning | Python
Filling missing values in a dataset is an essential step in data preprocessing to ensure the accuracy and reliability of your analysis.
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Hackers Realm
- Jul 11
- 9 min
Detect and Remove Outliers in the Data | Machine Learning | Python
Detecting and removing outliers is an important step in data analysis and can help improve the accuracy of statistical models.
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Hackers Realm
- Jul 8
- 4 min
Target/Mean Encoding for Categorical Attributes | Machine Learning | Python
Mean encoding, also known as target encoding, is a technique used to encode categorical attributes in machine learning models
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Hackers Realm
- Jul 8
- 4 min
Feature Selection using Recursive Feature Elimination | Machine Learning | Python
Recursive Feature Elimination (RFE) is a feature selection technique used to select the most relevant features from a given dataset
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