Master Machine Learning with hands-on projects, real-time data, and expert mentorship to build intelligent solutions and advance your career.
TecKnowledge’s Machine Learning course helps learners master data-driven decision-making using real-world algorithms and tools. From supervised learning to deep learning techniques, participants will gain practical experience in building predictive models and AI-powered applications. The course includes Python-based implementation, industry case studies, and career-oriented mentorship for real-time success.
What is ML?
Types: Supervised, Unsupervised, Reinforcement
NumPy, Pandas, Matplotlib, Scikit-learn
Handling Missing Values
Feature Scaling and Transformation
Linear & Logistic Regression
Decision Trees, Random Forest, KNN
K-Means Clustering
Hierarchical Clustering
Confusion Matrix, Accuracy, Precision, Recall
Cross-validation, Hyperparameter Tuning
Intro to Neural Networks
TensorFlow Basics
Real-time ML application with end-to-end implementation
Apply ML concepts with real datasets and problems.
Learn from professionals in AI and Machine Learning.
Earn certification recognized by NSDC and industry.
Work on case studies from multiple industries.
Get placement help with resume and interview prep.
Join online, offline, or hybrid learning schedules.
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