Machine Learning using Python

Machine Learning using Python

Unlock Data Potential with Machine Learning Using Python Course.This Machine Learning using Python course offers an in-depth overview of ML topics, including working with real-time data, developing supervised and unsupervised learning algorithms, regression, classification, and time series modeling.

in DevOps
Instructed by Junaid Bilal

Course Overview

This Machine Learning using Python course offers an in-depth overview of ML topics, including working with real-time data, developing supervised and unsupervised learning algorithms, regression, classification, and time series modeling. In this machine learning certification training, you will learn how to use Python to draw predictions from data.

Learning Path

Machine Learning using Python

Key Features

30+ hours of blended learning

Industry-based projects for experiential learning

30+ assisted practices and lesson-wise knowledge checks

Interactive learning with Google Colabs

Lifetime access to self-paced learning content

Dedicated live sessions by faculty of industry experts

Skills & Technologies Covered

  • Supervised and unsupervised learning
  • Linear and logistic regression
  • KMeans clustering
  • Decision tree
  • Boosting and Bagging techniques
  • Time series modeling
  • Kernel SVM
  • Naive Bayes
  • Random forest classifiers
  • Deep Learning fundamentals

Target Audience

  • Supervised and unsupervised learning
  • Linear and logistic regression
  • KMeans clustering
  • Decision tree
  • Boosting and Bagging techniques
  • Time series modeling
  • Kernel SVM
  • Naive Bayes
  • Random forest classifiers
  • Deep Learning fundamentals

Learning Benefits & Outcomes

The Machine Learning market is expected to reach USD 419.94 Billion by 2030 at a Compound Annual Growth Rate(CAGR) of 34.8%, indicating the increased adoption of machine learning among companies. 

Eligibility Criteria

Gain career success with our comprehensive Machine Learning course

Learn from 40+ hrs of Applied Learning and interactive labs

Complete 4 hands-on projects to solidify your understanding

Receive mentoring support throughout your learning journey

Master essential ML concepts for certification

Gain the skills needed to become a successful machine learning engineer

Job Role Matrix

Machine Learning using Python

Related Courses

Training Options

  • * Collaborative Learning
  • * Group Activities
  • * Cost-Effective
  • * Healthy Competition
  • * Collaborative Learning
  • * Group Activities
  • * Cost-Effective
  • * Healthy Competition
  • * Flexible pricing & billing options
  • * Private cohorts available
  • * Training progress dashboards
  • * Skills assessment & benchmarking
  • * Platform integration capabilities
  • * Dedicated customer success manager
  • * Flexible pricing & billing options
  • * Private cohorts available
  • * Training progress dashboards
  • * Skills assessment & benchmarking
  • * Platform integration capabilities
  • * Dedicated customer success manager

Course Curriculum

Learning using Python course offers an in-depth overview of ML topics, including working with real-time

20 Min
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Certification

Machine Learning using Python

FAQ

Upon successful completion of the ML course, Digitribe will provide you with an industry-recognized Machine Learning Certificate after training completion which has lifelong validity.
This Machine Learning course online will give you a complete overview of ML methodologies, enough to prepare you to excel in your next role as a Machine Learning Engineer. You will earn Digitribe’s Machine Learning certification that will attest to your new skills and on-the-job expertise. Get familiar with regression, classification, time series modeling, and clustering.

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