Hackers Realm
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.
top of page
Hackers Realm Blog
Hackers Realm
Aug 21, 20237 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
199 views0 comments
Hackers Realm
Aug 20, 20235 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
3,181 views0 comments
Hackers Realm
Aug 20, 20235 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.
2,831 views0 comments
Hackers Realm
Aug 20, 202315 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
553 views0 comments
Hackers Realm
Aug 7, 20238 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
2,624 views0 comments
Hackers Realm
Aug 7, 20234 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
704 views0 comments
Hackers Realm
Jul 31, 20235 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
242 views0 comments
Hackers Realm
Jul 31, 20234 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.
417 views0 comments
Hackers Realm
Jul 24, 20238 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.
1,633 views0 comments
Hackers Realm
Jul 24, 202310 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
82 views0 comments
Hackers Realm
Jul 17, 20238 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.
176 views0 comments
Hackers Realm
Jul 17, 202311 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.
280 views0 comments
Hackers Realm
Jul 11, 20239 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.
1,400 views0 comments
Hackers Realm
Jul 8, 20234 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
842 views0 comments
Hackers Realm
Jul 8, 20234 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
357 views0 comments
Hackers Realm
Jun 21, 20235 min
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
1,875 views0 comments
Hackers Realm
Jun 21, 20233 min
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.
3,748 views0 comments
Hackers Realm
Jun 21, 20236 min
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
1,338 views0 comments
Hackers Realm
Jun 4, 202312 min
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
200 views0 comments
bottom of page