Trained by working IT professionals from leading companies
30 HOUR Data Science & Machine Learning Beginner SYLLABUS
Welcome to the Data Science & Machine Learning course! In this course, you'll build a strong foundation in Python programming, statistics, and essential data science libraries. Whether you're a beginner starting your journey into data-driven problem solving or an IT professional aiming to expand your career, this course will guide you through data preprocessing, visualization, supervised and unsupervised learning algorithms, model evaluation, and real-world machine learning projects to prepare you for practical applications and advanced studies in AI.
Fee: ₹2999 Training Mode: Instructor-led live class Duration: 30hrs Next Batch: Loading... Prerequisite: Python Beginner, Data Analytics and SQLWhat you will learn from this course?
- Foundations of ML
- What is Machine Learning?
- Types of Learning (Supervised, Unsupervised, Reinforcement)
- Classification vs. Regression
- Getting started with Scikit-learn
- Supervised Learning
- Core Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbors (KNN)
- Naive Bayes
- Unsupervised Learning
- Clustering Techniques
- K-means & K-means++
- Elbow Method for choosing k
- DBSCAN & OPTICS
- Fuzzy Clustering
- Spectral Clustering
- Hierarchical Clustering (Agglomerative & Divisive)
- Gaussian Mixture Models
- Reinforcement Learning
- Introduction & Key Elements
- Algorithms
- SARSA
- Q-Learning
- Deep Q-Networks (DQN)
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