Course Detail

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Core Machine Learning

NITD's Trainer 2/3/4/6 Months

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Dive into the heart of AI! This course equips you with the fundamentals of machine learning (ML). Master algorithms like linear regression, decision trees, and neural networks to uncover patterns and make predictions from data. Learn techniques for data cleaning, model evaluation, and feature engineering. Unleash the power of ML to solve real-world problems in various domains.

Course Content:
  • Introduction to Machine Learning
  • Supervised Learning
  • Regression
  • Classification
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • Unsupervised Learning
  • Clustering
  • Dimensionality Reduction
  • Principal Component Analysis (PCA)
  • Association Rule Learning
  • Apriori Algorithm
  • Introduction to Neural Networks
  • Deep Learning
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Natural Language Processing (NLP)
Tools and Technology:
  • Python (NumPy, Pandas, Scikit-learn)
  • R Programming Language
  • TensorFlow
  • Keras
  • PyTorch
  • Apache Spark
  • Matplotlib
  • Seaborn
  • Jupyter Notebook
  • Google Colab