Become a Masters in Data Science
and Machine Learning

Join more than 5248+ students that have changed their future.
In just 3 months you can change your career and become a Data Analyst

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The Best Data Science Course in Marathahalli

School of data science offers the best Data Science Training in Bangalore Marathahalli.

Data science is an emerging inter-disciplinary field of that is at the intersection of data collection, statistics, big data and machine learning. School of Data Science is proud to provide the best data science course in Marathahalli, Bangalore. We provide a 3 month data science certification course that opens a lot of opportunities for you. If you’re interested in joining the data science course and get a high paying job, join the course today.

Call us to know more about the data science course and how it can help you.

Data Science

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Data Science Modules

The only Data Science training program
where you get in-depth knowledge of all the modules of Machine Learning

  • Topics:
  • Artificial Intelligence
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning
  • Topics:
  • Supervised learning
  • Unsupervised learning
  • Semi-supervised and Reinforcement learning
  • Bias and variance trade-off
  • Representation learning
  • Topics:
  • Data preparation
  • Feature engineering
  • Feature scaling
  • Datasets
  • Dimensionality reduction
  • Topics:
  • Concepts of linear algebra
  • Eigenvalues, eigenvectors, and eigendecomposition
  • Introduction to Calculus
  • Probability and statistics
  • Topics:
  • Regression and its types
  • Linear regression: Equations and algorithms
  • Meaning and types of classification
  • Logistic regression
  • K-nearest neighbors
  • Support vector machines
  • Kernel support vector machines
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier
  • Topics:
  • Clustering algorithms
  • K-means clustering
  • Topics:
  • Meaning and importance of Deep Learning
  • Artificial Neural Networks
  • TensorFlow
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