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Creed is a dynamic repository where machine learning algorithms meet practical implementation, crafted through hands-on coding sessions in Google Colaboratory.

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AutoML_H2O_.ipynb
AutoML_H2O_.ipynb
 
 
Data_analysis_parametrs.ipynb
Data_analysis_parametrs.ipynb
 
 
FourierTransforms in FE.ipynb
FourierTransforms in FE.ipynb
 
 
Kernels.ipynb
Kernels.ipynb
 
 
Lasso_regression.ipynb
Lasso_regression.ipynb
 
 
PCA_(numpy).ipynb
PCA_(numpy).ipynb
 
 
PCA_(sklearn).ipynb
PCA_(sklearn).ipynb
 
 
README.md
README.md
 
 
Ridge_Regression.ipynb
Ridge_Regression.ipynb
 
 
gradient_descent.ipynb
gradient_descent.ipynb
 
 
project 25 lasso_2.ipynb
project 25 lasso_2.ipynb
 
 
project 27 Lime_Library_in_ML.ipynb
project 27 Lime_Library_in_ML.ipynb
 
 
project 28 Random_forest_classifier.ipynb
project 28 Random_forest_classifier.ipynb
 
 
project 33 Decision_tree_types.ipynb
project 33 Decision_tree_types.ipynb
 
 
project 36 SVR.ipynb
project 36 SVR.ipynb
 
 
project 37 Clustering using PCA.ipynb
project 37 Clustering using PCA.ipynb
 
 
project 38 Gradient_Boosting_Regressor.ipynb
project 38 Gradient_Boosting_Regressor.ipynb
 
 
project 39 DBscan.ipynb
project 39 DBscan.ipynb
 
 
project 41 ordinal_encoding.ipynb
project 41 ordinal_encoding.ipynb
 
 
project 42 t_SNE.ipynb
project 42 t_SNE.ipynb
 
 
project 43 CART_on_digits.ipynb
project 43 CART_on_digits.ipynb
 
 
project 44 KNN.ipynb
project 44 KNN.ipynb
 
 
project 45 Naive_Bayes.ipynb
project 45 Naive_Bayes.ipynb
 
 
project 46 Random_Forest_Regressor.ipynb
project 46 Random_Forest_Regressor.ipynb
 
 
project 47 Decision_Tree_regressor.ipynb
project 47 Decision_Tree_regressor.ipynb
 
 
project 48 numpy_data_analysis_1.ipynb
project 48 numpy_data_analysis_1.ipynb
 
 
project 49 breast_cancer_detection.ipynb
project 49 breast_cancer_detection.ipynb
 
 
project 50 loss-error-in-neural-networks.pdf
project 50 loss-error-in-neural-networks.pdf
 
 
project 51 Hinge_loss.ipynb
project 51 Hinge_loss.ipynb
 
 
project 52 skewardness_and_kurtosis.ipynb
project 52 skewardness_and_kurtosis.ipynb
 
 
project 53 Feature_extraction_and_word_embeddings.ipynb
project 53 Feature_extraction_and_word_embeddings.ipynb
 
 
project 54 Semi_supervised(label_spreading).ipynb
project 54 Semi_supervised(label_spreading).ipynb
 
 
project 55 Lazy_Predict_Regressor_and_Classifier.ipynb
project 55 Lazy_Predict_Regressor_and_Classifier.ipynb
 
 
project 56 k_means_on_seeds_data_.ipynb
project 56 k_means_on_seeds_data_.ipynb
 
 
project 57 SVC.ipynb
project 57 SVC.ipynb
 
 
project 58 Feature scaling.ipynb
project 58 Feature scaling.ipynb
 
 
project 59 numpy_1.ipynb
project 59 numpy_1.ipynb
 
 
project 60 Descriptive_statistics.ipynb
project 60 Descriptive_statistics.ipynb
 
 
project 61 Hierarchical_Clustering1(numpy).ipynb
project 61 Hierarchical_Clustering1(numpy).ipynb
 
 
project 62 cross_validation_1.ipynb
project 62 cross_validation_1.ipynb
 
 
project 63 cross_validation_2_text_classifier.ipynb
project 63 cross_validation_2_text_classifier.ipynb
 
 
project 64 SVM_2.ipynb
project 64 SVM_2.ipynb
 
 
project 65 SVM_3.ipynb
project 65 SVM_3.ipynb
 
 
project 66 bank_customer_churn_prediction.ipynb
project 66 bank_customer_churn_prediction.ipynb
 
 
project 67 ARIMA.ipynb
project 67 ARIMA.ipynb
 
 
project 68 Gold_price_prediction_.ipynb
project 68 Gold_price_prediction_.ipynb
 
 
project 69 data_analyst_example.ipynb
project 69 data_analyst_example.ipynb
 
 
project 70 variance_thresholding.ipynb
project 70 variance_thresholding.ipynb
 
 
project 71 toxic,_threat,_hate_comment_detection.ipynb
project 71 toxic,_threat,_hate_comment_detection.ipynb
 
 
project 72 Vector_Similarity_Search.ipynb
project 72 Vector_Similarity_Search.ipynb
 
 
project 73 kfold_3_.ipynb
project 73 kfold_3_.ipynb
 
 
project 74 xgboost.ipynb
project 74 xgboost.ipynb
 
 
project 75 outliers_IQR.ipynb
project 75 outliers_IQR.ipynb
 
 

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Creed

🎯 Creed: A Collection of Machine Learning Algorithms and Strategies

✅ Overview:

Welcome to Creed, a repository that contains a variety of small machine learning projects and algorithm implementations. This collection reflects my journey of practicing and mastering ML techniques.

✅What You’ll Find

This repository includes concise Python scripts focused on:

✔ Essential machine learning algorithms ✔ Optimization strategies ✔ Hands-on problem-solving techniques ✔ Tools & Environment

✅All code is developed using:

✔ Google Colaboratory for interactive development and testing ✔ Python for implementing the machine learning algorithms

✅The goal of this repository is to provide:

✔ Clear and simple examples of ML concepts ✔ Easy-to-understand code for learners and practitioners alike

About

Creed is a dynamic repository where machine learning algorithms meet practical implementation, crafted through hands-on coding sessions in Google Colaboratory.

Topics

machine-learning machine-learning-algorithms python3 classification feature-engineering algorithms-implemented regression-analysis emsembling colaboratory svm-kernel pythonlibrarires

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