Hackers Realm
How to Deploy a Trained ML Model in Cloud
Learn how to deploy a trained ML model in the cloud for scalable, efficient access. #Cloud #MachineLearning #ModelDeployment
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Hackers Realm Blog
Hackers Realm
Oct 510 min read
Motion Detection Tutorial using OpenCV | Python
Learn how to implement motion detection using OpenCV in Python with this step-by-step tutorial. #OpenCV #MotionDetection #Python
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Hackers Realm
Oct 53 min read
How to deploy a Trained Model using Docker
Learn how to deploy a trained machine learning model with Docker for easy scalability and efficient model deployment. #Docker
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Hackers Realm
Sep 815 min read
Toxic Comment Classification | Multi Label | NLP | Python
Classify toxic comments with multi-label NLP techniques in Python. Enhance online safety with advanced text analysis. #NLP #Python
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Hackers Realm
Nov 11, 20239 min read
How to Handle Large Dataset (Pandas CSV) | Python
Tackle vast datasets effortlessly in Python! Learn efficient techniques to handle large CSVs with Pandas. #LargeDataset #Python
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Hackers Realm
Nov 11, 20238 min read
Mastering Cross-Validation Techniques in Python
Cross-validation methods are designed to provide a rigorous and unbiased evaluation of a model's performance, helping to mitigate issues
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Hackers Realm
Nov 11, 20234 min read
Standardize data using Z-Score/Standard Scalar | Python
Standardization is a data preprocessing technique that plays a pivotal role in making data suitable for various analytical processes
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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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Hackers Realm
Jul 11, 20239 min read
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, 20234 min read
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, 20234 min read
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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Hackers Realm
Jun 21, 20235 min read
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
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Hackers Realm
Jun 21, 20233 min read
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.
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Hackers Realm
Jun 21, 20236 min read
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
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Hackers Realm
Jun 4, 202312 min read
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
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