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Hackers Realm Blog


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
Hackers Realm
Aug 20, 20235 min read
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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.
Hackers Realm
Aug 20, 20235 min read
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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
Hackers Realm
Aug 20, 202315 min read
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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
Hackers Realm
Aug 7, 20238 min read
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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
Hackers Realm
Aug 7, 20234 min read
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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.
Hackers Realm
Jul 31, 20234 min read
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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.
Hackers Realm
Jul 24, 20238 min read
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Ensemble Techniques in Machine Learning | Python
Boost model performance with Ensemble Techniques in Python. Explore bagging, boosting, & stacking to create powerful machine learning models
Hackers Realm
Jul 24, 202310 min read
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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.
Hackers Realm
Jul 17, 20238 min read
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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.
Hackers Realm
Jul 17, 202311 min read
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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.
Hackers Realm
Jul 11, 20239 min read
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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
Hackers Realm
Jul 8, 20234 min read
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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
Hackers Realm
Jul 8, 20234 min read
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Feature Selection using Chi Square (Category) | Machine Learning | Python
Chi-square is a statistical method used to identify and select the most relevant features or variables from a dataset
Hackers Realm
Jun 21, 20235 min read
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Feature Selection using Correlation Matrix (Numerical) | Machine Learning | Python
The correlation matrix measures the linear relationship between pairs of features in a dataset. A correlation value ranges from -1 to 1.
Hackers Realm
Jun 21, 20233 min read
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Normalize data using Max Absolute & Min Max Scaling | Machine Learning | Python
Normalizing data is a common preprocessing step in machine learning. Commonly used normalization methods are Max Absolute and MinMax Scaling
Hackers Realm
Jun 21, 20236 min read
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Mastering Machine Learning with PySpark | Loan Prediction | Python
Master PySpark for machine learning! Explore loan prediction with Python, PySpark, and harness the power of big data. #PySpark #Python
Hackers Realm
Jun 4, 202312 min read
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Mastering OpenAI GPT-3 & 3.5 : A Comprehensive Guide to Overview, API, Examples and Fine Tuning
Unlock the potential of OpenAI GPT-3 & 3.5! This comprehensive guide covers overview, API, examples, and fine-tuning techniques. #OpenAI
Hackers Realm
Jun 1, 202314 min read
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Anime Face Generation using DCGAN | Keras Tensor flow | Deep Learning | Python
Create stunning anime faces with Python! Dive into Deep Convolutional GANs using Keras. Unleash your creativity in anime face generation.
Hackers Realm
May 29, 202314 min read
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Deep CNN Autoencoder for Image Compression & Denoising | Deep Learning | Python Tutorial
This tutorial explores Deep CNN Autoencoder for Image Compression & Denoising, enabling efficient and accurate image processing using python
Hackers Realm
May 23, 202311 min read
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