Description

We will learn Machine Learning in a simplistic, detailed, and fun way. We take a deep dive into Supervised Machine Learning Algorithms and a brief overview of Unsupervised Learning. entertaining explanation of Regression, Classification, Clustering By the end of the Workshop you will have learned indepthly about Machine Learning and code some machine learning projects to use in your portfolio!

PART 1: Overview of Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning

PART 2: Supervised Learning (Logistic vs Linear Regression)

PART 3: Setup Github

PART 4: Setup Google Colab for Python

PART 5: Code in Python (create linear regression Supervised Machine Learning model)

PART 6: Export project into Github

PART 7: Supervised Learning (Binary, Multiclass, and Ordinal Classification)

PART 8: Supervised Learning (How to analyze a Machine Leaning model)

PART 9: Code in Python (create classification Supervised Machine Learning model)

PART 10: Export project in Github

Course Objectives

To learn what Machine Learning actually is and algorithms

Target Audience

This workshop is for Beginners, Students, and Emerging Professionals in the field of Data Science.

Basic Understanding

No Experience Required

Course Content

No sessions available.

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Simpliv LLC
39658 Mission Boulevard,
Fremont, CA 94539, USA

6 Hour Live Training on Supervised Machine Learning for Data Science For Beginners and Professionals

Session 1: We learn what Machine Learning actually is!

No lectures available

Session 2: Learn about Supervised Learning, Reinforcement Learning, and Unsupervised Learning Algorithms!

No lectures available

Session 3: We get into several Machine Learning Use Cases!

No lectures available

Session 4: Learn the difference between Classification and Regression Supervised Learning Algorithms!

No lectures available

Session 5: Train and test data in Python using Regression and Classification!

No lectures available

Session 6: You will learn how to understand Linear and Logistic Regression!

No lectures available

Session 7: You will learn how to understand Binomial, Multinomial, Ordinal Classification!

No lectures available

Session 8: We dive into Machine Learning analysis such as Precision, Accuracy, F1-Score, and Recall!

No lectures available

Session 9: Learn Supervised Learning algorithms such as:

  1. Ordinary Least Squares
  2. Poisson
  3. Fast Forest Quantile
  4. Logistic Regression
  5. Ordinal Regression
  6. Bayesian
  7. Decision Forest Regression, and Boosted Decision Tree

Coupons

No offers available at this time.

Live Support

Call

+510-849-6155

Mail to

support@simplivlearning.com

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