Highlights

Duration 2 Weeks
Batch Dates Batch 1: April 25th to May 8th
Batch 2: May 9th to May 22nd
Batch 3: May 23rd to June 5th
Mode Online / Offline
Timinings 10:00 Am to 12:00 PM
Trainer 2+ Years of Experience

SME - AI / ML at Edunet Foundation

Ex-Trainer at Edureka

Python first-week topics:

  • What is Data Science
  • Applications of Data Science

Python

  • History of python
  • Strings
  • List
  • Tuples
  • Sets
  • Dict
  • Loops and functions
  • Pandas, matplot and seaborn

Statistics

  • Mean, median, mode
  • Hypothesis, Central limit
  • Discrete data and continuous data
  • EDA project

Python 2nd-week topics:

Machine Learning

  • What is machine learning
  • How will learn machines
  • Types of machine learning
  • Names of machine learning algorithms
  • Complete Linear regression algorithms
  • Knn regression and Classification Overview
  • One machine learning project
  • Deep learning overview

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