{"id":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","title":"Machine Learning: Complete — System and Results","description":"The course Machine Learning: Complete — System and Results is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 9 lessons, applied work with scikit-learn, model evaluation and features, and a final machine learning notebook; the focus is data handling and preparation, model training and iteration and queries, models, and structure.","contentLanguage":"en","coverUrl":"/course-covers/machine-learning-complete-system-and-results-33549479-8e6.webp","createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:51:44.655Z","durationSeconds":111600,"authorId":"77d21634-081a-45e2-be56-b24a5de1f2f2","rating":4.473684210526316,"reviewCount":19,"expectedLessonsCount":9,"trailerUrl":null,"faq":[{"answer":"Basic Python and introductory statistics are recommended. The course starts with a clear ramp-up and then moves into system and results.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 6–8 hours per week. In total, the course includes 9 lessons and about 31 hours of guided study.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a machine learning notebook plus reusable materials built around scikit-learn, model evaluation and features.","question":"What will I finish the course with?"}],"learningOutcomes":null,"requirements":null,"levels":["advanced"],"firstLessonFreePreviewEnabled":false,"certificateEnabled":true,"isPlatformCourse":false,"pricingTiers":[{"id":"standard","name":"Standard","price":149,"features":[],"highlighted":true}],"minPricingTierPrice":149,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"869af918-d185-46b9-84fe-8c771c9f7b29","lessons":[{"id":"f4ba6323-1a80-4b85-b8a0-c6c0f7bcfef9","title":"Machine Learning: Complete — System and Results — course orientation and outcomes","description":"Lesson 1 of 9 in Machine Learning: Complete — System and Results: work through course orientation and outcomes in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":0,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"014604c0-c3c9-4239-813c-4e7dde6a1549","title":"Machine Learning: Complete — System and Results — data handling and preparation","description":"Lesson 2 of 9 in Machine Learning: Complete — System and Results: work through data handling and preparation in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":1,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"d8ffa283-083f-457d-8e1d-841efeb448bd","title":"Machine Learning: Complete — System and Results — model training and iteration","description":"Lesson 3 of 9 in Machine Learning: Complete — System and Results: work through model training and iteration in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":2,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"b2e3e6d8-2f70-4dd9-adf2-eb4d30415b0f","title":"Machine Learning: Complete — System and Results — queries, models, and structure","description":"Lesson 4 of 9 in Machine Learning: Complete — System and Results: work through queries, models, and structure in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":3,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"9fb0aef2-49cf-492f-b2bf-ec7611ffe185","title":"Machine Learning: Complete — System and Results — evaluation, quality, and safety","description":"Lesson 5 of 9 in Machine Learning: Complete — System and Results: work through evaluation, quality, and safety in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":4,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"98d8434b-e465-46f9-b198-8a6647b58ea0","title":"Machine Learning: Complete — System and Results — real cases and guided practice","description":"Lesson 6 of 9 in Machine Learning: Complete — System and Results: work through real cases and guided practice in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":5,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"858a17c6-928e-493f-90ef-2543ac3d7314","title":"Machine Learning: Complete — System and Results — project build and review","description":"Lesson 7 of 9 in Machine Learning: Complete — System and Results: work through project build and review in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":6,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"fc4258bc-c97d-4854-8f18-104e496fa750","title":"Machine Learning: Complete — System and Results — metrics, quality, and decision criteria","description":"Lesson 8 of 9 in Machine Learning: Complete — System and Results: work through metrics, quality, and decision criteria in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":7,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"0a825730-1ac2-4183-9b21-0370cc914c47","title":"Machine Learning: Complete — System and Results — implementation, handoff, and next steps","description":"Lesson 9 of 9 in Machine Learning: Complete — System and Results: work through implementation, handoff, and next steps in the context of Machine Learning, and turn the result into a reusable part of the final machine learning notebook using scikit-learn and model evaluation.","videoUrl":null,"videoFileName":null,"duration":12400,"position":8,"createdAt":"2026-05-26T07:46:45.721Z","updatedAt":"2026-05-26T07:46:45.721Z","courseId":"fb12da3b-4ce7-4aff-989f-8c0b1d7c4a7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"77d21634-081a-45e2-be56-b24a5de1f2f2","name":"Benjamin Sutton","avatarUrl":null,"bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}