Machine Learning with Python - Mentorship

Learn the fundamentals of Machine Learning, and build projects with industry experts. Learn to use algorithms to analyse data, and to make informed decisions accordingly.

60/110 Seats
DURATION

3 months

SKILL

Beginner

LECTURES

30 Hrs Live Sessions

ENROLLED

50

  • Program Duration: 3.5 months
  • 25+ Hours of Content
  • 4 Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 months
  • 2 Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform

What Will I Learn?

  • Basic Concepts of Python
  • Learn to use Comments-Indentation, defining Functions and Error Handling
  • Introduction to Statistics.
  • Introduction to NumPy and Pandas
  • Learn and Implement Machine Learning Algorithms
  • Implement Linear Regression, Logistic Regression, Classification and Clustering

Career Options

  • Software Developer
  • Data Scientist
  • Data Analyst
  • Computational Linguist
Program Description

This course is designed to help learners understand the concepts of Machine Learning in a structured manner. As part of this program, a learner will be made to go through concepts like Machine Learning Algorithms, Statistical Concepts, Modelling Techniques, Regression, Classification, Clustering, Reinforcement Learning, and Python Programming as part of the Machine Learning section.
Pre-Rrequisite

  • A PC/Mobile phone to attend the class
  • A stable internet connection of at least 1Mbps (Recommended: 2 Mbps)
  • Headphone and Microphone
  • A quiet room or surrounding to attend the class.
Certification

Program Index

Basic Python-1
  • Data Types

  • Data Operators

  • Data Structures

  • Control Flow Statements and Loops

  • Reading and Writing in Python

Basic Python-2
  • Comments and Indentation

  • Defining Function

  • Error Handling

  • Modules

Statistics
  • Basic Statistics

  • Measures of Central Tendency

  • Measures of Dispersion

  • Measures of Shape

  • Central Limit Theorem and Hypothesis Testing

Introduction to Machine Learning
  • Numpy

  • Pandas

  • Data Visualization

  • Introduction to Machine Learning

  • Exploratory Data Analysis

Machine Learning 2
  • Linear Regression

  • Logistic Regression

  • Classification

  • Clustering

PROJECTS
  • Dogs VS Cats using CNN

  • Lead Scoring Case Study
  • Program Duration: 3.5 months
  • 25+ Hours of Content
  • 4 Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 months
  • 2 Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform