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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIT KanpurEdvancer Eduventures

The Syllabus

  • Introduction to Machine Learning in Python
  • Introduction to Python
  • Flow Control, Iterative Operations &
  • Functions in Python
  • Basic Statistics & Maths
  • Data Summary, Numerical and Visual EDA in Python
  • Data Handling in Python using NumPy & Pandas
  • Hypothesis Testing
  • Basics of Machine Learning-1
  • Basics of Machine Learning-2

  • Generalised Linear Models in Python
  • Decision Tree Models using Python
  • Boosting Algorithms using Python
  • Support Vector Machines (SVM), Naïve Bayes and KNN in Python
  • Unsupervised learning in Python
  • Neural Networks
  • Text Mining in Python

  • Ensemble Methods for mixed algorithms
  • Python pipelines and model in production
  • Advanced Ideas on Feature Engineering, Model Interpretation, Parameter Tuning, Genetic Algorithm

  • Introduction to AI and Deep Learning
  • Introduction to parameter optimisation and gradient descent
  • Getting Started with Tensorflow and Google Colab

  • Deep Feed Forward & Convolutional Neural Networks
  • Introduction to Keras
  • Image data generators, transfer learning and Tensorboard
  • Sequence to Sequence models with Recurrent Neural Networks, Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU)
  • Unsupervised Deep Learning

  • Object Detection and Localisation
  • Face Detection and Recognition
Natural Language Processing
  • Deep Learning for Natural Language Processing
  • Chatbots with Rasa
Other Applications
  • Working with Audio Data
  • Text summarisation, Image Captioning And Style Transfer

  • Introduction to SQL
  • SQL Data Types & Operators
  • Useful Operations in SQL
  • Aggregating Data in SQL
  • Writing Sub-Queries in SQL
  • Common function in SQL
  • Analytic Functions in SQL
  • Writing DML Statements
  • Writing DDL Statements
  • Using Constraints in SQL
  • SQL Joins
  • Views in SQL

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