Machine Learning Course

⏱️ Duration : 03 Months

Get ready to dominate the world of data with this hardcore Machine Learning course designed to turn beginners into absolute pros! No fluff, no deep learning confusion — just pure, battle-tested Machine Learning techniques that power industries worldwide.

This course dives deep into the core of classic ML algorithms, with hands-on Python coding using Scikit-learn — the weapon of choice for real-world data scientists. You’ll master data preprocessing, feature engineering, and model building like a boss, cracking complex problems with smart, efficient solutions.

Whether you want to build predictive models that predict customer behavior, cluster data for powerful insights, or fine-tune models for maximum accuracy, this course has your back. Loaded with real datasets, live projects, and battle-ready techniques, you’ll emerge with a killer portfolio and the confidence to crush any ML challenge.

This isn’t just learning — it’s your gateway to becoming a data ninja, ready to transform raw data into razor-sharp business decisions and smash your career goals.

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Course Curriculum

  • What is Machine Learning? Types and use cases
  • Setting up Python environment (Anaconda, Jupyter Notebook)
  • Overview of data science and ML workflow
  • Handling missing data and outliers
  • Data scaling and normalization
  • Encoding categorical variables
  • Feature selection and dimensionality reduction basics
  • Linear Regression (simple and multiple)
  • Logistic Regression for classification
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Clustering with K-Means and Hierarchical Clustering
  • Principal Component Analysis (PCA) for dimensionality reduction
  • Train-test split and cross-validation
  • Performance metrics: accuracy, precision, recall, F1 score, ROC-AUC
  • Hyperparameter tuning with Grid Search and Random Search

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