{"id":"046a69ce-8918-4aae-ab47-78c721042d7b","title":"Machine Learning: Complete — Implementation at Work","description":"The course Machine Learning: Complete — Implementation at Work 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-complete-implementation-at-work-e33020f8-a56.webp","createdAt":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:51:44.652Z","durationSeconds":126000,"authorId":"cfe63dab-48f6-440e-9a8b-1b1a3db42954","rating":4.6,"reviewCount":15,"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 implementation at work.","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":"bbc3cfb2-9962-41ab-98fb-03ee6f3c7006","title":"Machine Learning: Complete — Implementation at Work — course orientation and outcomes","description":"Lesson 1 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"b4309b59-beb7-47c2-ba7f-f8bc6817ec87","title":"Machine Learning: Complete — Implementation at Work — data handling and preparation","description":"Lesson 2 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"d9b73e43-c3b8-4a95-b807-39ae818230d7","title":"Machine Learning: Complete — Implementation at Work — model training and iteration","description":"Lesson 3 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"678bd7f6-50f1-4b2c-a570-a6cd80c44a9a","title":"Machine Learning: Complete — Implementation at Work — queries, models, and structure","description":"Lesson 4 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"55acbbdc-534b-42c8-a294-48e70ba2f262","title":"Machine Learning: Complete — Implementation at Work — evaluation, quality, and safety","description":"Lesson 5 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"fd606eb9-2a3f-4da7-b6f6-9d442ee9d628","title":"Machine Learning: Complete — Implementation at Work — real cases and guided practice","description":"Lesson 6 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"7db4349c-7145-49e0-832d-c4bc61d4c7cd","title":"Machine Learning: Complete — Implementation at Work — project build and review","description":"Lesson 7 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"35e5d9f7-1d9d-4dc4-a043-284266765ece","title":"Machine Learning: Complete — Implementation at Work — metrics, quality, and decision criteria","description":"Lesson 8 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"dd6e02f6-1382-4129-82d3-9235668cef55","title":"Machine Learning: Complete — Implementation at Work — troubleshooting and common pitfalls","description":"Lesson 9 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"318116c1-a4a0-4972-834d-8ad9acfabd25","title":"Machine Learning: Complete — Implementation at Work — implementation, handoff, and next steps","description":"Lesson 10 of 10 in Machine Learning: Complete — Implementation at Work: 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":"2026-05-26T07:46:11.984Z","updatedAt":"2026-05-26T07:46:11.984Z","courseId":"046a69ce-8918-4aae-ab47-78c721042d7b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"cfe63dab-48f6-440e-9a8b-1b1a3db42954","name":"Daniel Fisher","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/2659a050-a254-49f0-9935-c9c721110fc0.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}