{"id":"52162b81-08be-4f55-8dc4-c9ec4740e92d","title":"Machine Learning: Masterclass — Projects and Assignments","description":"The course Machine Learning: Masterclass — Projects and Assignments 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 10 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-masterclass-projects-and-assignment-65915c66-00c.webp","createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:51:44.680Z","durationSeconds":126000,"authorId":"5bcf91b8-ae41-40cb-9f17-6814acf961a3","rating":4.388888888888889,"reviewCount":54,"expectedLessonsCount":10,"trailerUrl":null,"faq":[{"answer":"Basic Python and introductory statistics are recommended. The course starts with a clear ramp-up and then moves into projects and assignments.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 6–8 hours per week. In total, the course includes 10 lessons and about 35 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":"07b9984e-3f9a-49e6-86ea-708b5893b64e","title":"Machine Learning: Masterclass — Projects and Assignments — course orientation and outcomes","description":"Lesson 1 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":0,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"30142db4-a120-40eb-9ea9-4ce4f8fac4b2","title":"Machine Learning: Masterclass — Projects and Assignments — data handling and preparation","description":"Lesson 2 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":1,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"472d9f76-b857-4bff-942c-24cd556d7368","title":"Machine Learning: Masterclass — Projects and Assignments — model training and iteration","description":"Lesson 3 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":2,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"fe7148fc-ea62-46fb-ac39-e32bda5ea10f","title":"Machine Learning: Masterclass — Projects and Assignments — queries, models, and structure","description":"Lesson 4 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":3,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"f57e31fa-7022-439b-93f7-327d28962c3c","title":"Machine Learning: Masterclass — Projects and Assignments — evaluation, quality, and safety","description":"Lesson 5 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":4,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"e8e7fe5b-2ed8-474c-a3cf-ec01b6c1e929","title":"Machine Learning: Masterclass — Projects and Assignments — real cases and guided practice","description":"Lesson 6 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":5,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"d9ac0413-203a-4eb1-8060-51810b400b7d","title":"Machine Learning: Masterclass — Projects and Assignments — project build and review","description":"Lesson 7 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":6,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ce0716d1-3adf-4657-96b5-42b02da693cd","title":"Machine Learning: Masterclass — Projects and Assignments — metrics, quality, and decision criteria","description":"Lesson 8 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":7,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"66dce166-b30b-4a67-bec8-ac60df26cf31","title":"Machine Learning: Masterclass — Projects and Assignments — troubleshooting and common pitfalls","description":"Lesson 9 of 10 in Machine Learning: Masterclass — Projects and Assignments: work through troubleshooting and common pitfalls 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":12600,"position":8,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"931ee8e4-e1d4-4d2b-bcf8-a614700a5c97","title":"Machine Learning: Masterclass — Projects and Assignments — implementation, handoff, and next steps","description":"Lesson 10 of 10 in Machine Learning: Masterclass — Projects and Assignments: 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":12600,"position":9,"createdAt":"2026-05-26T07:46:06.385Z","updatedAt":"2026-05-26T07:46:06.385Z","courseId":"52162b81-08be-4f55-8dc4-c9ec4740e92d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"5bcf91b8-ae41-40cb-9f17-6814acf961a3","name":"Isaac Coleman","avatarUrl":null,"bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}