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Data Science AI & ML

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Data Science – AI & ML

Description

This comprehensive program begins with the foundations of Artificial Intelligence, Machine Learning, and Data Science. You’ll explore real-world applications, understand key differences between AI, ML, and Deep Learning, and master Python essentials like NumPy, Pandas, and Matplotlib. Data preprocessing, EDA, and feature engineering set the stage for building reliable models.

Next, dive into Supervised Machine Learning with algorithms like Linear and Logistic Regression, Decision Trees, Random Forest, KNN, SVM, and Naive Bayes. Learn to evaluate models using precision, recall, F1-score, and ROC-AUC, and fine-tune performance through hyperparameter optimization using GridSearchCV and RandomSearchCV.

Unsupervised Learning introduces clustering techniques, dimensionality reduction, and anomaly detection. You’ll also explore Deep Learning with neural networks, CNNs for image classification, and frameworks like TensorFlow and Keras. Concepts like dropout, transfer learning, and RNNs provide a strong foundation for advanced AI applications.

Finally, learn to deploy your models using Flask or FastAPI, integrate them with frontend interfaces, and connect to databases like MySQL or SQLite. Host your projects on platforms like Render or AWS, and manage code with Git & GitHub. Graduate with a portfolio that proves you’re ready for the AI-driven future.

Benefits

Step into the future with Elevate Pro’s Data Science – AI & ML program, designed to turn beginners into skilled professionals in just 90 days. Learn Python, machine learning, deep learning, and model deployment through real-world projects. Build a portfolio that proves your expertise and opens doors to top tech careers.

Mon-Fri 09:00 AM - 06:00 PM
Sunday Closed

FAQ

Got questions? We’ve got answers. Here’s everything you need to know before starting your Full Stack Software Development journey with Elevate Pro.

No prior coding experience is required. We start with Python basics and guide you through every concept with hands-on practice and beginner-friendly explanations.

You’ll work with Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Flask, FastAPI, MySQL, and GitHub — all essential tools used by data scientists and machine learning engineers.

Yes, you’ll build multiple projects including supervised models, deep learning applications, and a final deployed AI solution — all hosted on GitHub to showcase your skills to employers.

Absolutely. We offer resume reviews, mock interviews, and connect you with hiring partners to help you land roles in data science, AI, or machine learning.

Course Details:

Course Price:

₹ 25,000/-

Lesson Duration

12 Weeks

Lessons

45

Places for Students

12

Language:

English, Spanish, French

Certifications

Digital, Physical

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