Duration
4 Months
Projects
25+ Models
Certificate
Completion
Mentees
2400+ Active
Course Modules
Module 1: Python for ML
- Python Programming Crash Course
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Matplotlib and Seaborn for Visualization
Module 2: Supervised Learning
- Linear and Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- K-Nearest Neighbors (KNN)
Module 3: Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Anomaly Detection
Module 4: Advanced ML Topics
- Ensemble Methods and Boosting
- XGBoost and LightGBM
- Model Optimization and Hyperparameter Tuning
- End-to-End ML Pipelines
Course Investment
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Every course includes professionally designed certificates to validate your skills and enhance your career prospects. All certificates are digitally verified and recognized by top companies.
Certificate of Participation
Awarded for active participation in the program
Certificate of Completion
Awarded upon successful course completion
Certificate of Training
Awarded upon completion of practical training
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