Hackers Realm
Taking Screenshot of Webpage using Selenium | Web Scraping | Python
One essential aspect of web testing is capturing screenshots of webpages at various stages of testing to visually inspect the page's content
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Hackers Realm Blog
Hackers Realm
Oct 13, 20235 min read
Scraping Multimedia Files using Beautiful Soup | Web Scraping | Python
Master web scraping with Beautiful Soup in Python! Learn to extract multimedia files efficiently. #WebScraping #BeautifulSoup #Python
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Hackers Realm
Oct 13, 20234 min read
Scraping Data using Selenium | Web Scraping | Python
Unleash the power of Selenium for web scraping in Python! Learn effective techniques to extract valuable data. #WebScraping #Selenium
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Hackers Realm
Sep 6, 20236 min read
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
Aug 21, 202310 min read
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, 20235 min read
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, 20235 min read
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, 20239 min read
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, 20237 min read
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, 20235 min read
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, 20235 min read
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, 202315 min read
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, 20238 min read
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, 20234 min read
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, 20235 min read
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, 20234 min read
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, 20238 min read
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, 202310 min read
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, 20238 min read
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, 202311 min read
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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