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Machine Learning using Python

Machine Learning using Python Training Course

US$599.00

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.

Additional information

Choose an Option

Online Bootcamp

    30+ hours of blended learning
    Interactive learning with Google Colabs
    Industry-based projects for experiential learning
    Lifetime access to self-paced learning content
    30+ assisted practices and lesson-wise knowledge checks
    Dedicated live sessions by faculty of industry experts

    Program Delivery Method

    Online Bootcamp: Online self-paced video-based learning and live virtual classroom conducted by the industry’s leading coaches.

    Data Analyst Learning Path

    Prerequsites

    Learners need to possess an undergraduate degree or a high school diploma. An understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. Before getting into the machine learning Python certification training, one should understand fundamental courses, including Python for data science, math refreshers, and statistics essential for data science.

    • 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
     
    • Python

    • Google Colab

    • 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 strengthen your understanding

    • Get mentoring support throughout your learning journey

    • Master essential ML concepts for certification

    • Gain the skills needed to become a successful machine learning engineer

    • Course Introduction
    • Introduction to Machine Learning
    • Supervised Learning
    • Regression and Applications
    • Classification and Applications
    • Unsupervised Algorithms
    • Ensemble Learning
    • Recommender System

    This Machine Learning using Python course is best suited for data analysts, business analysts, software developers, IT professionals, statisticians, recent graduates, and anyone aiming to start or grow a career in data science, machine learning, or artificial intelligence.

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