OneHack Us Edureka co Applied Machine Learning With Python 2025 | 9E641B2064B37602D62A647B69AF06DA8DE0479A

OneHack Us Edureka co Applied Machine Learning With Python 2025

Name	[OneHack.Us] Edureka.co - Applied Machine Learning With Python 2025	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	101
Last Seen	2025-05-21 00:13
Hash	9E641B2064B37602D62A647B69AF06DA8DE0479A

/.../01-Machine_Learning_Essentials/
01-welcome_to_applied_machine_learning_with_python_instructions.html	7.2 KB
02-course_introduction.mp4	25.6 MB
03-machine_learning_in_industry.mp4	27.2 MB
04-how_companies_use_machine_learning.mp4	33.2 MB
05-how_companies_are_crafting_the_future_instructions.html	4.7 KB
/.../02-Overview_Of_Machine_Learning/
01-machine_learning_process.mp4	23.4 MB
02-steps_in_machine_learning.mp4	24.1 MB
03-types_of_machine_learning.mp4	38.8 MB
04-machine_learning_101_instructions.html	286.7 KB
/03-Regression/
01-introduction_to_linear_regression.mp4	34.5 MB
02-real_life_examples.mp4	46.7 MB
03-calculating_ols.mp4	79.1 MB
04-equation_of_ols.mp4	32.4 MB
05-assumptions_in_linear_regression.mp4	43.5 MB
06-demonstration_setting_up_the_model.mp4	42.6 MB
07-calculating_r_square_and_rmse.mp4	53.5 MB
08-residual_plot_and_q_q_plot.mp4	18.1 MB
09-cooks_distance.mp4	42.3 MB
10-real_life_examples_of_logistic_regression.mp4	43.2 MB
11-what_is_logistic_regression.mp4	52.0 MB
12-cost_function.mp4	29.0 MB
13-assumptions_in_logistic_regression.mp4	37.6 MB
14-demonstration_of_logistic_regression_transforming_data.mp4	60.1 MB
15-demonstration_of_logistic_regression_developing_the_model.mp4	34.3 MB
16-regression_and_its_assumptions_instructions.html	4.2 KB
17-role_of_regularization_instructions.html	5.8 KB
/.../04-Evaluation_Metrics/
01-confusion_matrix.mp4	20.3 MB
02-example_for_calculating_confusion_matrix.mp4	61.4 MB
03-conditions_for_over_fitting_and_under_fitting.mp4	23.2 MB
04-overfitting_and_underfitting.mp4	60.3 MB
05-performance_metrics_mse_rmse_mae_mape.mp4	49.3 MB
06-r_square_rmsle_and_adjusted_r_square.mp4	34.7 MB
07-working_of_r_square.mp4	44.1 MB
08-significance_of_r_square.mp4	55.4 MB
09-evaluation_of_all_things_predictive_instructions.html	17.7 KB
/.../05-Module_Wrap_Up_And_Assessment/
01-summary_for_inception_of_machine_learning.mp4	16.8 MB
/.../01-Decision_Tree_And_Random_Forest/
00.Support - Onehack.Us.txt	0.1 KB
01-classification_in_machine_learning.mp4	32.6 MB
02-what_is_decision_tree.mp4	66.7 MB
03-decision_tree_entropy_and_information_gain.mp4	55.9 MB
04-step_by_step_building_of_decision_tree.mp4	81.6 MB
05-pruning_in_decision_tree.mp4	56.0 MB
06-demonstration_importing_data.mp4	48.9 MB
07-demonstration_building_decision_tree_and_random_forest.mp4	66.7 MB
08-demonstration_importance_of_features.mp4	26.6 MB
09-demonstration_production_ready_random_forest.mp4	19.7 MB
10-demonstration_hyperparameter_tuning.mp4	32.8 MB
11-decision_trees_and_random_forests_instructions.html	6.0 KB
/.../02-Svm_Knn_And_Naive_Bayes_Algorithms/
01-what_is_svm.mp4	38.9 MB
02-terminologies_in_svm.mp4	90.4 MB
03-hinge_loss_function_and_other_parameters.mp4	86.8 MB
04-demonstration_of_svm_exploring_the_data.mp4	30.9 MB
05-demonstration_of_svm_setting_up_the_svm_classifier.mp4	71.3 MB
06-what_is_naive_bayes.mp4	19.7 MB
07-working_of_naive_bayes_bayes_theorem.mp4	48.6 MB
08-example_of_naive_bayes_algorithm.mp4	78.5 MB
09-demonstration_of_naive_bayes_code.mp4	38.1 MB
10-working_of_knn.mp4	34.5 MB
11-example_of_knn_algorithm.mp4	47.4 MB
12-demonstration_of_knn_setting_up_the_model.mp4	52.7 MB
13-demonstration_of_knn_transforming_and_scaling_data.mp4	49.2 MB
14-demonstration_of_knn_creating_classifier.mp4	29.5 MB
15-svm_knn_and_naive_bayes_when_to_use_which_algorithm_instructions.html	5.1 KB
/.../03-Dimensionality_Reduction/
01-dimensionality_reduction.mp4	60.2 MB
02-introduction_to_pca.mp4	56.0 MB
03-applying_pca.mp4	47.5 MB
04-eigen_values_and_eigen_vectors.mp4	62.3 MB
05-demonstration_initializing_pca.mp4	26.3 MB
06-demonstration_determining_optimal_number_of_components_through_pca.mp4	38.5 MB
07-demonstration_implementing_optimal_pca.mp4	47.3 MB
08-working_of_lda.mp4	58.2 MB
09-demonstration_of_lda.mp4	61.4 MB
10-best_practices_for_dimensionality_reduction_pca_vs_lda_instructions.html	5.7 KB
/.../04-Module_Wrap_Up_And_Assessment/
01-summary_for_machine_learning_algorithms.mp4	17.2 MB
/.../01-Association_Rules/
01-what_are_association_rules.mp4	47.5 MB
02-apriori_algorithm.mp4	36.1 MB
03-demonstrating_apriori_algorithm.mp4	91.9 MB
04-fp_growth_in_association_rule_instructions.html	5.8 KB
/.../02-Recommendation_Engines/
01-what_are_recommendation_engine.mp4	36.2 MB
02-cbf.mp4	35.2 MB
03-demonstration_of_recommendation_engine_preparing_data.mp4	59.5 MB
04-demonstration_testing_the_model.mp4	51.9 MB
05-how_recommendation_engines_personalize_your_world_instructions.html	4.9 KB
/.../03-Reinforcement_Learning_And_Boosting/
01-elements_for_reinforcement_learning.mp4	28.3 MB
02-demonstration_of_boosting_explaining_the_dataset.mp4	57.7 MB
03-demonstration_of_boosting_cleaning_and_transforming_dataset.mp4	59.0 MB
04-demonstration_of_boosting_factors_affecting_promotion.mp4	36.2 MB
05-demonstration_of_boosting_total_score_and_service_affecting_promotion.mp4	50.7 MB
06-demonstration_of_boosting_age_previous_year_rating_influencing_promotion.mp4	32.5 MB
07-demonstration_of_boosting_department_influencing_promotion.mp4	51.4 MB
08-demonstration_of_boosting_education_affecting_promotion_and_summarization.mp4	51.6 MB
09-demonstration_of_boosting_modeling_the_data.mp4	44.4 MB
10-demonstration_of_boosting_building_a_model.mp4	76.8 MB
11-working_of_k_means_algorithm.mp4	34.6 MB
12-demonstration_of_k_means_clustering.mp4	64.1 MB
13-training_models_to_get_better_with_experience_instructions.html	7.2 KB
/.../04-Module_Wrap_Up_And_Assessment/
01-summary_for_association_rule_mining_and_recommendation_system.mp4	23.9 MB
/04-Course_Wrap_Up_And_Assessment/
01-course_summary_applied__with_python.mp4	20.2 MB
02-final_project_cab_booking_demand_analysis_instructions.html	4.9 KB
/
Resources.zip	1.8 MB
Support - Onehack.Us.txt	0.1 KB
Total files 101