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Learn to create Machine Learning Algorithms from Data Science experts. Code templates included.
For IT & Computer science Engineers
Course Type :
₹ 20221
Topic 1 | Introduction to ML
Topic 1 | Introduction to Machine Learning
Topic 2 | Setup & ML Workflow
Topic 2 | Setup & ML Workflow
Topic 3 | ML Types
Topic 3 | ML Types
Topic 4 | ML Algorithms (Overview)
Topic 4 | ML Algorithms (Overview)
Topic 5 | Statistics & Probability for ML
Topic 5 | Statistics & Probability for ML
Topic 6 | Probability & Inferential Statics
Topic 6 | Probability & Inferential Statics
Topic 7 | Supervised Learning
Topic 7 | Supervised Learning
Topic 8 | Regression
Topic 8 | Regression
Topic 9 | Linear Regression
Topic 9 | Linear Regression
Topic 10 | Logistic Regression
Topic 10 | Logistic Regression
Topic 11 | Decision Tree
Topic 11 | Decision Tree
Topic 12 | Random Forest
Topic 12 | Random Forest
Topic 13 | Naïve Bayes
Topic 13 | Naïve Bayes
Topic 13 | Stat & Probability for Machine Learning
Topic 14 | Ensemble Methods
Topic 14 | Ensemble Methods
Topic 15 | Model Evaluation & Validation
Topic 15 | Model Evaluation & Validation
Topic 16 | Hyperparameter Tuning
Topic 16 | Hyperparameter Tuning
Topic 17 | Clustering
Topic 17 | Clustering
Topic 18 | Anomaly Detection
Topic 18 | Anomaly Detection
Topic 19 | Deep Learning Foundations
Topic 19 | Deep Learning Foundations
Topic 20| CNNs & RNNs
Topic 20 | CNNs & RNNs
Topic 21 | PyTorch
Topic 21 | PyTorch
Topic 22 | Q-Learning (Intro to Reinforcement Learning)
Topic 22 | Q-Learning (Intro to Reinforcement Learning)
Topic 23 | ML CAPSTONE PROJECT
Topic 23 | ML CAPSTONE PROJECT
Topic 24| CAPSTONE PROJECT 2
Topic 24| CAPSTONE PROJECT 2
Course Description
Machine learning is an area of artificial intelligence and computer science that covers topics such supervised learning and unsupervised learning and includes the development of software and algorithms that can make predictions based on data. Machine Learning is implemented where programming or developing an efficient algorithm is problematic or not feasible. Machine Learning is revolutionizing the computing ecosystem.
Course objectives
The objective of this training program is to understand how machines can learn from its past experience which is considered as the core of AI. We focus on creating strong fundamental knowledge sets on building algorithms by mastering the principles of statistical analysis.
Roles in industry
Course Highlights
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