Courses
Course Content
Introduction to Machine Learning
- Definition and types of Machine Learning
- Applications of Machine Learning
- The role of data in Machine Learning
- Key concepts and terminology
- Setting up a development environment

Supervised Learning
- Linear Regression
- Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines
- Naive Bayes Classifiers

Unsupervised Learning
- K-means Clustering
- Principal Component Analysis (PCA)
- Singular Value Decomposition (SVD)
- Autoencoders
- Generative Adversarial Networks (GANs)

Deep Learning
- Artificial Neural Networks (ANNs)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory (LSTM)
- Transfer Learning

Model Evaluation and Selection
- Model evaluation metrics
- Overfitting and underfitting
- Bias-variance tradeoff
- Hyperparameter tuning
- Model ensembles

Real-world Applications
- Image recognition
- Natural Language Processing (NLP)
- Recommender Systems
- Anomaly detection
- Time series forecasting

Ethics and privacy
- Bias in Machine Learning
- Fairness in Machine Learning
- Explainable AI
- Data privacy
- AI governance

Project
- Problem definition
- Data collection and preprocessing
- Model selection and evaluation
- Deployment
- Maintenance

Advance Topics
- Reinforcement learning
- Generative models
- Representation learning
- Graphical models
- Causal inference

Future of Machine Learning
- Current trends and future directions
- Impact of Machine Learning on various industries
- Challenges and limitations of Machine Learning
- Opportunities for further research
- Preparing for a career in Machine Learning

Courses
Videos
Alpha
₹2999 /-

Beta
₹16999 /-
Advanced
Gamma
₹119999 /-
- Learning Video
- Live Interactive session
- Live Project
- Case Studies
- Reading essentials
- Placement assistance
- Internship opportunity
- Call assistance from experts before Interview
- Mock Interview
- Personalized Mentoring
- Industry tools training
- Industry Specific training
- Paid Internship
- Exclusive access to premium group consisting of 500 different domain experts
- Special Projects
- Placement Guaranteed Service
- Learning Module: 160 Hours
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