Machine Learning Course

Machine Learning Course is revolutionizing industries with its ability to make data-driven decisions. This comprehensive course covers foundational to advanced concepts, empowering you to build expertise in machine learning and apply it across various domains like data science, AI, and automation.

Key Features of Machine Learning Course:

✅ Master supervised, unsupervised, and reinforcement learning algorithms.
✅ Learn to preprocess data, feature engineering, and model evaluation.
✅ Practical experience with real-world projects and hands-on exercises.
✅ Dive into neural networks, deep learning, and advanced techniques like GANs.
✅ Tools and libraries training with Python, Scikit-learn, TensorFlow, and more.
✅ Model deployment, monitoring, and ethics in machine learning.

Benefits of Learning Machine Learning:

✅ High demand for machine learning professionals in data science, AI, and tech.
✅ Career opportunities as a Machine Learning Engineer, Data Scientist, AI Specialist, and more.
✅ Gain expertise in building and deploying real-world machine learning models.
✅ In-demand skills in data preprocessing, model evaluation, and advanced techniques.
✅ Explore ethics and bias mitigation in machine learning applications.

Who Can Take This Course?

✅ Data Analysts & Engineers – Enhance your skill set with machine learning knowledge.
✅ Data Science Enthusiasts – Build a solid foundation in machine learning.
✅ AI & ML Professionals – Upskill with advanced techniques.
✅ Career Changers – Transition into the rapidly growing field of machine learning.
✅ Freelancers – Offer machine learning-based solutions globally.

Machine Learning Course: From Basics to Advanced

✅ Module 1: Introduction to Machine Learning

Understand the types of machine learning (supervised, unsupervised, reinforcement), key algorithms, and real-world applications.

✅ Module 2: Data Preprocessing & Feature Engineering

Learn to handle missing data, normalize and scale features, encode categorical variables, and perform feature selection.

✅ Module 3: Statistics & Probability for Data Science

Master probability distributions, hypothesis testing, p-values, correlation, covariance, and outlier detection using IQR and boxplots.

✅ Module 4: Error Metrics & Evaluation Techniques

Explore classification metrics (precision, recall, F1 score), regression metrics (MAE, MSE, RMSE), and distance metrics (Euclidean, Manhattan).

✅ Module 5: Supervised Learning

Dive into linear regression, logistic regression, k-NN, decision trees, random forests, support vector machines, and model performance tuning.

✅ Module 6: Unsupervised Learning

Understand clustering techniques (K-Means, DBSCAN), dimensionality reduction (PCA, t-SNE), and anomaly detection.

✅ Module 7: Reinforcement Learning

Get hands-on with Q-Learning, Deep Q-Networks (DQN), and policy gradient methods used in dynamic environments.

✅ Module 8: Neural Networks & Deep Learning

Learn the architecture and applications of CNNs, RNNs, LSTMs, autoencoders, and deep learning frameworks.

✅ Module 9: Model Evaluation & Hyperparameter Tuning

Apply cross-validation, grid search, and Bayesian optimization to improve model accuracy and performance.

✅ Module 10: Advanced Machine Learning Techniques

Explore ensemble models (Bagging, Boosting), GANs, SVR, XGBoost, and neural architecture search for advanced projects.

✅ Module 11: Machine Learning in Practice

Understand the complete ML workflow: data pipelines, model deployment, version control, and working with large-scale datasets.

✅ Module 12: Tools & Libraries

Get hands-on experience with Python, Scikit-learn, TensorFlow, PyTorch, Jupyter Notebook, Pandas, NumPy, and more.

✅ Module 13: Career Guidance & Interview Preparation

Resume building, mock interviews, real-world project reviews, and 500+ ML interview questions with expert guidance.

Certification:

🎓 Get Certified in Machine Learning – Prove your skills in data science and AI.
🎓 Certificate of Completion
🎓 Resume Preparation & Interview Support
🎓 Placement Assistance with Partner Companies

Bonuses & Add-Ons:

✅ Free access to recorded sessions for 1 year.
✅ Resume templates & mock interview preparation.
✅ 500+ Machine Learning Interview Question Bank.
✅ 1-Year Doubt Support Post Course Completion.

About Ageis Technova – Delhi NCR:

Ageis Technova offers world-class training in Machine Learning, Data Science, and more, providing industry-expert instructors and real-time project exposure to help bridge the gap between education and career success.

✅ Real-world case studies
✅ Certified professionals as trainers
✅ Industry-focused curriculum
✅ Personalized career support

Contact / Enroll Now:

📞 Call / WhatsApp: +91-74287 06064
📧 Email: info@ageistechnova.com
🎯 Free Demo Class Available
📢 Limited Seats per Batch