[OneHack.Us] Edureka.co - Applied Machine Learning With Python 2025

Creation Time	April 4, 2025, 10:16 p.m.
Last Access Time	May 21, 2025, 7:17 p.m.
File Size	3.6 GB
Keywords	Applied co 2025 OneHack - Us Machine Python Edureka Learning With
Total Requests	99
Total Files	101
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03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/03-demonstrating_apriori_algorithm.mp4 87.7 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/02-terminologies_in_svm.mp4 86.2 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/03-hinge_loss_function_and_other_parameters.mp4 82.8 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/04-step_by_step_building_of_decision_tree.mp4 77.8 MB
01-Introduction_To_Machine_Learning/03-Regression/03-calculating_ols.mp4 75.4 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/08-example_of_naive_bayes_algorithm.mp4 74.9 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/10-demonstration_of_boosting_building_a_model.mp4 73.2 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/05-demonstration_of_svm_setting_up_the_svm_classifier.mp4 68.0 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/07-demonstration_building_decision_tree_and_random_forest.mp4 63.6 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/02-what_is_decision_tree.mp4 63.6 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/12-demonstration_of_k_means_clustering.mp4 61.1 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/04-eigen_values_and_eigen_vectors.mp4 59.4 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/02-example_for_calculating_confusion_matrix.mp4 58.5 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/09-demonstration_of_lda.mp4 58.5 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/04-overfitting_and_underfitting.mp4 57.5 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/01-dimensionality_reduction.mp4 57.4 MB
01-Introduction_To_Machine_Learning/03-Regression/14-demonstration_of_logistic_regression_transforming_data.mp4 57.3 MB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/03-demonstration_of_recommendation_engine_preparing_data.mp4 56.7 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/03-demonstration_of_boosting_cleaning_and_transforming_dataset.mp4 56.3 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/08-working_of_lda.mp4 55.5 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/02-demonstration_of_boosting_explaining_the_dataset.mp4 55.0 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/05-pruning_in_decision_tree.mp4 53.4 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/02-introduction_to_pca.mp4 53.4 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/03-decision_tree_entropy_and_information_gain.mp4 53.3 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/08-significance_of_r_square.mp4 52.8 MB
01-Introduction_To_Machine_Learning/03-Regression/07-calculating_r_square_and_rmse.mp4 51.0 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/12-demonstration_of_knn_setting_up_the_model.mp4 50.3 MB
01-Introduction_To_Machine_Learning/03-Regression/11-what_is_logistic_regression.mp4 49.6 MB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/04-demonstration_testing_the_model.mp4 49.5 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/08-demonstration_of_boosting_education_affecting_promotion_and_summarization.mp4 49.2 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/07-demonstration_of_boosting_department_influencing_promotion.mp4 49.1 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/05-demonstration_of_boosting_total_score_and_service_affecting_promotion.mp4 48.4 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/05-performance_metrics_mse_rmse_mae_mape.mp4 47.0 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/13-demonstration_of_knn_transforming_and_scaling_data.mp4 46.9 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/06-demonstration_importing_data.mp4 46.6 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/07-working_of_naive_bayes_bayes_theorem.mp4 46.3 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/03-applying_pca.mp4 45.3 MB
03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/01-what_are_association_rules.mp4 45.3 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/11-example_of_knn_algorithm.mp4 45.2 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/07-demonstration_implementing_optimal_pca.mp4 45.1 MB
01-Introduction_To_Machine_Learning/03-Regression/02-real_life_examples.mp4 44.6 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/09-demonstration_of_boosting_modeling_the_data.mp4 42.4 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/07-working_of_r_square.mp4 42.1 MB
01-Introduction_To_Machine_Learning/03-Regression/05-assumptions_in_linear_regression.mp4 41.5 MB
01-Introduction_To_Machine_Learning/03-Regression/10-real_life_examples_of_logistic_regression.mp4 41.2 MB
01-Introduction_To_Machine_Learning/03-Regression/06-demonstration_setting_up_the_model.mp4 40.6 MB
01-Introduction_To_Machine_Learning/03-Regression/09-cooks_distance.mp4 40.4 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/01-what_is_svm.mp4 37.1 MB
01-Introduction_To_Machine_Learning/02-Overview_Of_Machine_Learning/03-types_of_machine_learning.mp4 37.0 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/06-demonstration_determining_optimal_number_of_components_through_pca.mp4 36.7 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/09-demonstration_of_naive_bayes_code.mp4 36.3 MB
01-Introduction_To_Machine_Learning/03-Regression/13-assumptions_in_logistic_regression.mp4 35.8 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/04-demonstration_of_boosting_factors_affecting_promotion.mp4 34.5 MB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/01-what_are_recommendation_engine.mp4 34.5 MB
03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/02-apriori_algorithm.mp4 34.4 MB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/02-cbf.mp4 33.6 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/06-r_square_rmsle_and_adjusted_r_square.mp4 33.1 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/11-working_of_k_means_algorithm.mp4 33.0 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/10-working_of_knn.mp4 32.9 MB
01-Introduction_To_Machine_Learning/03-Regression/01-introduction_to_linear_regression.mp4 32.9 MB
01-Introduction_To_Machine_Learning/03-Regression/15-demonstration_of_logistic_regression_developing_the_model.mp4 32.7 MB
01-Introduction_To_Machine_Learning/01-Machine_Learning_Essentials/04-how_companies_use_machine_learning.mp4 31.6 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/10-demonstration_hyperparameter_tuning.mp4 31.3 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/01-classification_in_machine_learning.mp4 31.1 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/06-demonstration_of_boosting_age_previous_year_rating_influencing_promotion.mp4 31.0 MB
01-Introduction_To_Machine_Learning/03-Regression/04-equation_of_ols.mp4 30.9 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/04-demonstration_of_svm_exploring_the_data.mp4 29.4 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/14-demonstration_of_knn_creating_classifier.mp4 28.1 MB
01-Introduction_To_Machine_Learning/03-Regression/12-cost_function.mp4 27.6 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/01-elements_for_reinforcement_learning.mp4 27.0 MB
01-Introduction_To_Machine_Learning/01-Machine_Learning_Essentials/03-machine_learning_in_industry.mp4 25.9 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/08-demonstration_importance_of_features.mp4 25.3 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/05-demonstration_initializing_pca.mp4 25.1 MB
01-Introduction_To_Machine_Learning/01-Machine_Learning_Essentials/02-course_introduction.mp4 24.4 MB
01-Introduction_To_Machine_Learning/02-Overview_Of_Machine_Learning/02-steps_in_machine_learning.mp4 23.0 MB
03-Association_Rule_Mining_And_Recommendation_System/04-Module_Wrap_Up_And_Assessment/01-summary_for_association_rule_mining_and_recommendation_system.mp4 22.8 MB
01-Introduction_To_Machine_Learning/02-Overview_Of_Machine_Learning/01-machine_learning_process.mp4 22.3 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/03-conditions_for_over_fitting_and_under_fitting.mp4 22.1 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/01-confusion_matrix.mp4 19.3 MB
04-Course_Wrap_Up_And_Assessment/01-course_summary_applied__with_python.mp4 19.3 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/06-what_is_naive_bayes.mp4 18.8 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/09-demonstration_production_ready_random_forest.mp4 18.8 MB
01-Introduction_To_Machine_Learning/03-Regression/08-residual_plot_and_q_q_plot.mp4 17.3 MB
02-Machine_Learning_Algorithms/04-Module_Wrap_Up_And_Assessment/01-summary_for_machine_learning_algorithms.mp4 16.4 MB
01-Introduction_To_Machine_Learning/05-Module_Wrap_Up_And_Assessment/01-summary_for_inception_of_machine_learning.mp4 16.0 MB
Resources.zip 1.7 MB
01-Introduction_To_Machine_Learning/02-Overview_Of_Machine_Learning/04-machine_learning_101_instructions.html 280.0 KB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/09-evaluation_of_all_things_predictive_instructions.html 17.3 KB
01-Introduction_To_Machine_Learning/01-Machine_Learning_Essentials/01-welcome_to_applied_machine_learning_with_python_instructions.html 7.0 KB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/13-training_models_to_get_better_with_experience_instructions.html 7.0 KB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/11-decision_trees_and_random_forests_instructions.html 5.8 KB
01-Introduction_To_Machine_Learning/03-Regression/17-role_of_regularization_instructions.html 5.7 KB
03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/04-fp_growth_in_association_rule_instructions.html 5.6 KB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/10-best_practices_for_dimensionality_reduction_pca_vs_lda_instructions.html 5.5 KB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/15-svm_knn_and_naive_bayes_when_to_use_which_algorithm_instructions.html 5.0 KB
04-Course_Wrap_Up_And_Assessment/02-final_project_cab_booking_demand_analysis_instructions.html 4.8 KB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/05-how_recommendation_engines_personalize_your_world_instructions.html 4.8 KB
01-Introduction_To_Machine_Learning/01-Machine_Learning_Essentials/05-how_companies_are_crafting_the_future_instructions.html 4.6 KB
01-Introduction_To_Machine_Learning/03-Regression/16-regression_and_its_assumptions_instructions.html 4.1 KB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/00.Support - Onehack.Us.txt 94 bytes
Support - Onehack.Us.txt 94 bytes

[OneHack.Us] Edureka.co - Applied Machine Learning With Python 2025

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