Data Science Course In Chennai With R Programming

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Whether you’re aiming to become a skilled Data Scientist or excel in the field of Data Science in Chennai, our curriculum covers essential topics such as Python programming and AWS Cloud integration.

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Syllabus:

• Real world problem: Predict rating given product reviews on Amazon
• Classification And Regression Models: K-Nearest Neighbors
• Interview Questions on K-NN (K Nearest Neighbor)
• Classification algorithms in various situations
• Performance measurement of models
• <li>Interview Questions on Performance Measurement Models
• Naive Bayes
• Logistic Regression
• Linear Regression
• Solving Optimization Problems
• Module 4: Machine Learning – II (Supervised Learning Models)
• Support Vector Machines (SVM)
• Interview Questions on Support Vector Machine
• Decision Trees
• Interview Questions on decision Trees
• Ensemble Models
• Module 5: Feature Engineering, Product ionization and deployment of ML Models
• Featurization and Feature engineering.
• Miscellaneous Topics
• Module 6: Machine Learning Real-World Case Studies
• Case Study 1: Quora question Pair Similarity Problem
• Case Study 2: Personalized Cancer Diagnosis
• Case Study 3: Facebook Friend Recommendation using Graph Mining
• Case study 4: Taxi demand prediction in New York City
• Case study 5: Stack overflow tag predictor
• Case Study 6: Microsoft Malware Detection
• Module 7: Data Mining (Unsupervised Learning) and Recommender Systems
• Unsupervised learning/Clustering
• Hierarchical clustering Technique
• DBSCAN (Density based clustering) Technique
• Recommender Systems and Matrix Factorization
• Module 8: Neural Networks, Computer Vision and Deep Learning
• Deep Learning: Neural Networks.
• Deep Learning: Deep Multi-layer perceptron
• Deep Learning: TensorFlow and Keres.
• Deep Learning: Convolutional Neural Nets.
• Deep Learning: Long Short-term memory (LSTMs)
• Deep Learning: Generative Adversarial Networks (GANs)
• Encoder-Decoder Models
• Attention Models in Deep Learning
• Deep Learning: Transformers and BERT
• Deep Learning: Image Segmentation
• Interview Questions on Deep Learning
• Deep Learning: Object Detection
• Module 9: Deep Learning Real-World Case Studies
• Case Study 11: Human Activity Recognition
• Case Study 10: Self Driving Car
• Case Study 12: Music Generation using Deep-Learning
• Case Study 13: Semantic Search Engine for Q&A [Design + Code]
• Module 10: Machine Learning Design and miscellaneous topics
• Machine Learning High-Level Design
• Sample Interview and Conceptual Questions [AUDIO]
• Module 10: Live Sessions