5 Days 5 Machine Learning Projects From Scratch
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Welcome to the “5 Days 5 Machine Learning Projects From Scratch” course, a fast-paced, hands-on learning experience designed to take you from theory to practice in just five days! This course is perfect for aspiring data scientists, machine learning enthusiasts, and professionals who want to enhance their portfolio with real-world projects.
Each day focuses on building a fully functional machine learning project from scratch, covering various domains and techniques to give you a well-rounded experience. By the end of this course, you’ll have completed five diverse projects, gaining invaluable skills in data preprocessing, model building, evaluation, and deployment. This course emphasizes practical skills, critical thinking, and hands-on implementation to ensure you’re job-ready.
What You’ll Build:
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Day 1: Create Project Using Natural Language Processing.
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Day 2: Create Project Using logistic regression and neural networks.
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Day 3: Create Project Using Naive Bayes classification.
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Day 4: Create Project Using Medical Image Prediction.
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Day 5: Create Project For Ad Click Through Prediction.
Whether you’re a student, professional, or self-taught learner, this course equips you with the knowledge and confidence to tackle real-world machine learning problems. Acquire skills to confidently implement machine learning solutions in real-world scenarios. Start your journey today and transform your passion for machine learning into tangible expertise!
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1Introduction To ProjectVideo lesson
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2Resume Class 1 : Import PackagesVideo lesson
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3Resume Class 2 : Import DatasetVideo lesson
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4Resume Class 3 : Extract Text From ResumeVideo lesson
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5Resume Class 4 : TokenizationVideo lesson
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6Resume Class 5 : Match Keywords & SkillsVideo lesson
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7Resume Class 6 : Analyze Resume Score & ConclusionVideo lesson
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8Introduction To ProjectVideo lesson
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9Ecommerce Class 1 : Import PackagesVideo lesson
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10Ecommerce Class 2 : Import DatasetVideo lesson
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11Ecommerce Class 3 : Data PreprocessingVideo lesson
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12Ecommerce Class 4 : Train Dataset Using Logistic RegressionVideo lesson
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13Ecommerce Class 5 : Output & ConclusionVideo lesson
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14Introduction To ProjectVideo lesson
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15Emotion Class 1 : Import PackagesVideo lesson
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16Emotion Class 2 : Import DatasetVideo lesson
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17Emotion Class 3 : Dataset PreprocessingVideo lesson
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18Emotion Class 4 : Train Dataset Using Naive BayesVideo lesson
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19Emotion Class 5 : Output & ConclusionVideo lesson
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