Download Edureka | Applied Machine Learning With Python 2025 Torrent

Torrent Contents Size: 3.59 GB

Edureka | Applied Machine Learning With Python 2025

01-Introduction_To_Machine_Learning

01-Machine_Learning_Essentials

01-welcome_to_applied_machine_learning_with_python_instructions.html	HTML	7.03 KB
02-course_introduction.mp4	MP4	24.37 MB
03-machine_learning_in_industry.mp4	MP4	25.94 MB
04-how_companies_use_machine_learning.mp4	MP4	31.63 MB
05-how_companies_are_crafting_the_future_instructions.html	HTML	4.6 KB

02-Overview_Of_Machine_Learning

01-machine_learning_process.mp4	MP4	22.34 MB
02-steps_in_machine_learning.mp4	MP4	23.02 MB
03-types_of_machine_learning.mp4	MP4	37.02 MB
04-machine_learning_101_instructions.html	HTML	280.02 KB

03-Regression

01-introduction_to_linear_regression.mp4	MP4	32.88 MB
02-real_life_examples.mp4	MP4	44.56 MB
03-calculating_ols.mp4	MP4	75.45 MB
04-equation_of_ols.mp4	MP4	30.86 MB
05-assumptions_in_linear_regression.mp4	MP4	41.51 MB
06-demonstration_setting_up_the_model.mp4	MP4	40.62 MB
07-calculating_r_square_and_rmse.mp4	MP4	51.03 MB
08-residual_plot_and_q_q_plot.mp4	MP4	17.28 MB
09-cooks_distance.mp4	MP4	40.38 MB
10-real_life_examples_of_logistic_regression.mp4	MP4	41.2 MB
11-what_is_logistic_regression.mp4	MP4	49.63 MB
12-cost_function.mp4	MP4	27.61 MB
13-assumptions_in_logistic_regression.mp4	MP4	35.82 MB
14-demonstration_of_logistic_regression_transforming_data.mp4	MP4	57.32 MB
15-demonstration_of_logistic_regression_developing_the_model.mp4	MP4	32.73 MB
16-regression_and_its_assumptions_instructions.html	HTML	4.1 KB
17-role_of_regularization_instructions.html	HTML	5.71 KB

04-Evaluation_Metrics

01-confusion_matrix.mp4	MP4	19.33 MB
02-example_for_calculating_confusion_matrix.mp4	MP4	58.54 MB
03-conditions_for_over_fitting_and_under_fitting.mp4	MP4	22.1 MB
04-overfitting_and_underfitting.mp4	MP4	57.48 MB
05-performance_metrics_mse_rmse_mae_mape.mp4	MP4	47.02 MB
06-r_square_rmsle_and_adjusted_r_square.mp4	MP4	33.11 MB
07-working_of_r_square.mp4	MP4	42.07 MB
08-significance_of_r_square.mp4	MP4	52.8 MB
09-evaluation_of_all_things_predictive_instructions.html	HTML	17.32 KB

05-Module_Wrap_Up_And_Assessment

01-summary_for_inception_of_machine_learning.mp4

MP4

16 MB

02-Machine_Learning_Algorithms

01-Decision_Tree_And_Random_Forest

00.Support - Onehack.Us.txt	TXT	94 B
01-classification_in_machine_learning.mp4	MP4	31.06 MB
02-what_is_decision_tree.mp4	MP4	63.62 MB
03-decision_tree_entropy_and_information_gain.mp4	MP4	53.33 MB
04-step_by_step_building_of_decision_tree.mp4	MP4	77.84 MB
05-pruning_in_decision_tree.mp4	MP4	53.45 MB
06-demonstration_importing_data.mp4	MP4	46.62 MB
07-demonstration_building_decision_tree_and_random_forest.mp4	MP4	63.65 MB
08-demonstration_importance_of_features.mp4	MP4	25.33 MB
09-demonstration_production_ready_random_forest.mp4	MP4	18.78 MB
10-demonstration_hyperparameter_tuning.mp4	MP4	31.25 MB
11-decision_trees_and_random_forests_instructions.html	HTML	5.82 KB

02-Svm_Knn_And_Naive_Bayes_Algorithms

01-what_is_svm.mp4	MP4	37.05 MB
02-terminologies_in_svm.mp4	MP4	86.17 MB
03-hinge_loss_function_and_other_parameters.mp4	MP4	82.78 MB
04-demonstration_of_svm_exploring_the_data.mp4	MP4	29.44 MB
05-demonstration_of_svm_setting_up_the_svm_classifier.mp4	MP4	67.99 MB
06-what_is_naive_bayes.mp4	MP4	18.8 MB
07-working_of_naive_bayes_bayes_theorem.mp4	MP4	46.3 MB
08-example_of_naive_bayes_algorithm.mp4	MP4	74.88 MB
09-demonstration_of_naive_bayes_code.mp4	MP4	36.34 MB
10-working_of_knn.mp4	MP4	32.92 MB
11-example_of_knn_algorithm.mp4	MP4	45.24 MB
12-demonstration_of_knn_setting_up_the_model.mp4	MP4	50.31 MB
13-demonstration_of_knn_transforming_and_scaling_data.mp4	MP4	46.9 MB
14-demonstration_of_knn_creating_classifier.mp4	MP4	28.13 MB
15-svm_knn_and_naive_bayes_when_to_use_which_algorithm_instructions.html	HTML	4.97 KB

03-Dimensionality_Reduction

01-dimensionality_reduction.mp4	MP4	57.45 MB
02-introduction_to_pca.mp4	MP4	53.44 MB
03-applying_pca.mp4	MP4	45.33 MB
04-eigen_values_and_eigen_vectors.mp4	MP4	59.38 MB
05-demonstration_initializing_pca.mp4	MP4	25.12 MB
06-demonstration_determining_optimal_number_of_components_through_pca.mp4	MP4	36.68 MB
07-demonstration_implementing_optimal_pca.mp4	MP4	45.11 MB
08-working_of_lda.mp4	MP4	55.51 MB
09-demonstration_of_lda.mp4	MP4	58.53 MB
10-best_practices_for_dimensionality_reduction_pca_vs_lda_instructions.html	HTML	5.52 KB

04-Module_Wrap_Up_And_Assessment

01-summary_for_machine_learning_algorithms.mp4

MP4

16.4 MB

03-Association_Rule_Mining_And_Recommendation_System

01-Association_Rules

01-what_are_association_rules.mp4	MP4	45.32 MB
02-apriori_algorithm.mp4	MP4	34.39 MB
03-demonstrating_apriori_algorithm.mp4	MP4	87.65 MB
04-fp_growth_in_association_rule_instructions.html	HTML	5.62 KB

02-Recommendation_Engines

01-what_are_recommendation_engine.mp4	MP4	34.48 MB
02-cbf.mp4	MP4	33.58 MB
03-demonstration_of_recommendation_engine_preparing_data.mp4	MP4	56.71 MB
04-demonstration_testing_the_model.mp4	MP4	49.46 MB
05-how_recommendation_engines_personalize_your_world_instructions.html	HTML	4.8 KB

03-Reinforcement_Learning_And_Boosting

01-elements_for_reinforcement_learning.mp4	MP4	26.98 MB
02-demonstration_of_boosting_explaining_the_dataset.mp4	MP4	55.03 MB
03-demonstration_of_boosting_cleaning_and_transforming_dataset.mp4	MP4	56.3 MB
04-demonstration_of_boosting_factors_affecting_promotion.mp4	MP4	34.52 MB
05-demonstration_of_boosting_total_score_and_service_affecting_promotion.mp4	MP4	48.38 MB
06-demonstration_of_boosting_age_previous_year_rating_influencing_promotion.mp4	MP4	31.02 MB
07-demonstration_of_boosting_department_influencing_promotion.mp4	MP4	49.06 MB
08-demonstration_of_boosting_education_affecting_promotion_and_summarization.mp4	MP4	49.24 MB
09-demonstration_of_boosting_modeling_the_data.mp4	MP4	42.37 MB
10-demonstration_of_boosting_building_a_model.mp4	MP4	73.19 MB
11-working_of_k_means_algorithm.mp4	MP4	32.98 MB
12-demonstration_of_k_means_clustering.mp4	MP4	61.1 MB
13-training_models_to_get_better_with_experience_instructions.html	HTML	6.99 KB

04-Module_Wrap_Up_And_Assessment

01-summary_for_association_rule_mining_and_recommendation_system.mp4

MP4

22.79 MB

04-Course_Wrap_Up_And_Assessment

	01-course_summary_applied__with_python.mp4	MP4	19.28 MB
	02-final_project_cab_booking_demand_analysis_instructions.html	HTML	4.82 KB

Resources.zip

ZIP

1.68 MB

Support - Onehack.Us.txt

TXT

94 B

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Edureka | Applied Machine Learning With Python 2025

Torrent Contents Size: 3.59 GB

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