Foundations of Machine Learning

“Machine learning turns data into intelligence, powering the future.”

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Course Details

Attribute Details
Duration 12 weeks
Training Level Beginner to Advanced
Sessions Interactive live teaching sessions
Doubt Clearing Sessions Twice a week
Certification Training completion certificate
Course Materials Access to recorded sessions and resources
Support 24/7 support via email and chat

Curriculum

- What is Machine Learning?
- Applications of Machine Learning
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Overview of Machine Learning workflow

- Understanding datasets
- Handling missing data
- Feature scaling and normalization
- Splitting data into training and testing sets

- Regression algorithms: Linear Regression, Polynomial Regression
- Classification algorithms: Logistic Regression, Decision Trees
- Evaluating model performance: Accuracy, Precision, Recall, and F1 Score
- Cross-validation techniques

- Clustering algorithms: K-Means, Hierarchical Clustering
- Dimensionality reduction: PCA, LDA
- Applications of unsupervised learning in real-world scenarios
- Visualization of clusters

- Importance of feature engineering
- Feature selection techniques
- Handling categorical and numerical data
- Creating new features from existing data

- Understanding perceptrons
- Building simple neural networks
- Activation functions: ReLU, Sigmoid, Tanh
- Forward and backward propagation

- Hyperparameter tuning
- Regularization techniques: L1, L2, Dropout
- Grid Search and Random Search
- Understanding overfitting and underfitting

- Saving and loading models
- Model deployment on web apps using Flask
- Using APIs for model deployment
- Monitoring and maintaining deployed models

- Introduction to Deep Learning
- Reinforcement Learning basics
- Handling imbalanced datasets
- Current trends in Machine Learning

- Building a real-world machine learning project
- Data preprocessing, model training, and evaluation
- Presenting results and insights
- Documentation and reporting

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Frequently Asked Questions

What is an online training program?

An online training program is a learning experience delivered over the internet. It includes instructional materials, live sessions, and assessments that can be accessed remotely from anywhere.

How do I enroll in the program?

You can enroll in our online training programs by visiting our website, selecting the course, and filling out the registration form. After registration, you'll receive a confirmation email with further details.

Do I need any specific software or equipment?

For most online training programs, you'll need a computer or mobile device with an internet connection. Some courses may require additional software, which will be mentioned in the course details.

Are the online programs live or pre-recorded?

Our online training programs include both live sessions and pre-recorded content. You’ll have access to live sessions with instructors as well as recorded materials that you can review at your own pace.

Can I interact with the instructor during the course?

Yes, you can interact with the instructor during live sessions through chat or Q&A. Some courses also include discussion forums for continuous interaction.

How do I get support during the course?

We offer 24/7 support through email and chat. Additionally, live doubt-clearing sessions are available twice a week to help you with any questions.

What if I miss a live session?

Don't worry! All live sessions are recorded and available for you to watch at your convenience. You can access them anytime.

Is there a certificate upon completion?

Yes, you will receive a certificate of completion after successfully finishing the course requirements.

Can I access the course material after the course ends?

Yes, you will have lifetime access to the course material, including recordings and resources, even after the course has concluded.

Are there any prerequisites for the courses?

Each course has specific prerequisites. Some courses are designed for beginners, while others require prior knowledge in certain subjects. Please check the course details for any prerequisites.

How can I contact customer support?

You can contact our customer support team via email, chat, or phone, available on our website's contact page.