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Master Machine Learning: Build Real-World Models from Scratch is a self-paced intermediate-level technology online course on GreyAcademy, taught by Admin User. It has 4 modules and 16 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.
Topics covered: ML Basics: Supervised, Unsupervised & Reinforcement Learning, Feature Selection: Filter, Wrapper & Embedded Methods, Feature Normalization: Min-Max, Z-Score & Constant Factor, Dimensionality Reduction: PCA & LDA, Linear Regression: Predicting House Prices in Hyderabad, Regression Metrics: MAE, MSE, R-Squared & Adjusted R², Decision Trees & Naive Bayes: Spam Detection for Hindi-English Messages, Logistic Regression & SVM: Customer Churn Prediction for an Indian Telecom, Neural Networks from Scratch: Perceptrons & Backpropagation, CNNs & RNNs: Image and Sequence Models, Classification Metrics: Confusion Matrix, Precision, Recall, F1, ROC, Model Validation: Cross-Validation, Bias-Variance, Regularization and more.
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Start with the big picture — what ML is, the three types (supervised, unsupervised, reinforcement), and how to prepare data. You'll learn feature selection and normalization using Indian retail data. By the end, you'll clean and transform a real dataset from Flipkart reviews.
Platform administrator
Master Machine Learning: Build Real-World Models from Scratch is a intermediate-level technology course covering ML Basics: Supervised, Unsupervised & Reinforcement Learning, Feature Selection: Filter, Wrapper & Embedded Methods, Feature Normalization: Min-Max, Z-Score & Constant Factor, taught through short self-paced lessons on GreyAcademy.
Master Machine Learning: Build Real-World Models from Scratch is a paid course on GreyAcademy. Enrol once and get lifetime access to all lessons.
Yes. Once you complete all lessons (and pass any required assessments) in Master Machine Learning: Build Real-World Models from Scratch, you can download a verified GreyAcademy certificate with a unique verification code.
Yes, Master Machine Learning: Build Real-World Models from Scratch is fully self-paced. You can pause, rewind, and revisit any lesson as many times as you need, on any device.
Master Machine Learning: Build Real-World Models from Scratch is a intermediate-level course. Check the course level above to see if it matches your current experience.
Master Machine Learning: Build Real-World Models from Scratch takes approximately 10 hours to complete, spread across 16 lessons at your own pace.
Dive into the most common ML tasks — predicting numbers (regression) and categories (classification). You'll build models from scratch using gradient descent and evaluate them with real metrics. By the end, you'll predict Bengaluru house prices and classify spam messages.
Move from traditional ML to neural networks. Build an ANN for digit recognition, understand CNNs for images, and RNNs for sequences. Master classification metrics and model validation techniques. By the end, you'll design a neural network for a real problem.
Explore unsupervised learning — clustering and dimensionality reduction — and combine multiple models with ensemble methods. Build a recommendation system using matrix factorization. By the end, you'll segment customers and build a movie recommender like Netflix India.
Saurav Singh
All prices include a 18% platform fee
