MACHINE LEARNING




Course Content

Prerequisites: Basic knowledge of C programming. Beginners are also welcome

Course
  • Anaconda and Python development environment setup
  • Python Basics - Strings, libraries, lists, tuples, dictionaries. functions, file handling.
  • Using scientific libraries in Python - NumPy, SciPy, Matplotlib and Pandas
  • Data preprocessing and ETL activities.
  • Manipulation and Effective Data Visualization
  • Basics of statistics (mean, mode, median, standard deviation etc.) for machine learning.
  • ScikitLearn library and Machine Learning
Supervised Learning and its usage.
  • Simple linear regression, Multiple linear regression.
  • Decision tree and random forest regression
  • Decision tree and random forest classification
  • Logistic regression
  • Unsupervised Learning – Clustering (Kmeans) and Association (Apriori)
  • Natural Language Processing
  • Dimensionality reduction techniques (PCA )
  • Web scrapping and REST APIs
  • Projects and code challenges

  • Job Opportunities
  • • System Design
  • • Software Engineer
  • Why CNC?
  • • 1 Major Project
  • • 100% Job Assistance
  • An ISO 9001:2015 Certified Company
  • Running since 10 Years
  • Experienced and Developer cum Faculties

  • Course Duration: 60 Hours (30 Days)
    Track: Regular Track


    Email cncdost@gmail.com or Call 9649902444