Machine Learning Training
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Rating : (297)
Machine Learning Training
Our Machine Learning course is designed to give you a strong foundation in building intelligent models that learn from data. Whether you're just starting out or aiming to enter the world of data science, this course takes you from the basics to real-world problem solving.
You'll learn key ML techniques like regression, classification, clustering, and model evaluation using tools like Python, Pandas, and Scikit-learn. Through hands-on projects, you'll build models that can predict, classify, and uncover hidden patterns in data.
By the end, you'll be equipped to develop machine learning solutions and take on roles in analytics, automation, and AI-driven development.
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Introduction to Machine Learning and its types (Supervised, Unsupervised, Reinforcement)
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Differences between AI, ML, and Deep Learning
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Real-world applications: from Netflix suggestions to predictive maintenance
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Understanding features, labels, and model lifecycle
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Introduction to Python for ML: Pandas, NumPy, Matplotlib
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Using Jupyter Notebooks for data experimentation
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Overview of Scikit-learn and other key ML libraries
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Data preprocessing: cleaning, encoding, splitting datasets
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Regression: Linear, Polynomial
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Classification: KNN, Decision Trees, Logistic Regression
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Clustering: K-Means, DBSCAN
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Evaluation metrics: Accuracy, Precision, Recall, Confusion Matrix
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Introduction to Neural Networks and Perceptrons
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Using Keras and TensorFlow for building models
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Activation functions, optimizers, and loss functions
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Building and training a simple neural network
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House price prediction using regression
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Sentiment analysis on product reviews
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Email spam detection using Naive Bayes
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Capstone: End-to-end ML solution using real-world dataset
Customer Reviews
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Anirudh Reddy
“The Machine Learning course was very practical and beginner-friendly. I especially liked the real-life examples and hands-on projects.”
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Kavya Nair
“As someone from a non-CS background, I found the explanations clear and easy to follow. A little more content on deep learning would’ve been great.”
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Meenakshi Rajan
“Good course to get started with Machine Learning. The instructor's teaching style and the assignments were very helpful for understanding key concepts.”
Why Learn Machine Learning Training ?
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Learn to Think Like Data – Machine Learning teaches you how to uncover hidden patterns and predict outcomes from real-world data—turning raw numbers into powerful insights.
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Automation with Intelligence – From email filtering to self-tuning recommendation engines, ML helps you build systems that improve on their own—no hard-coded rules required.
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Foundation for Data Science & AI – ML is the core of both data science and AI. Mastering it opens doors to advanced fields like deep learning, computer vision, and natural language processing.
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Create Value Across Domains – Whether it’s predicting customer behavior, optimizing supply chains, or diagnosing diseases, ML is the secret weapon in solving industry-specific challenges.
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Instructor:Deep Tech Skill
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Duration2 Month
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Skill LevelIntermediate
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LanguageEnglish
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QuizYes
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CertificateYes
