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 DevOpsCourse 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
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
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
Certification
