Practical Machine Learning with Python For Developers & Data Scientists

Practical Machine Learning with Python For Developers & Data Scientists

Main Speaker:


Liran Ben Haim

Tracks:

Code
Data

Seminar Categories:

BI & ML
Programming

Course ID:

43743

Date:

07.07.2020

Time:

Daily seminar
9:00-16:30

43743

Overview

Python is a great programming language for data analysis and machine learning. With its packages and tools , writing a machine learning process with python is a very simple task.

In this seminar we will cover the important packages and tools and see some practical examples how we can use it to solve machine learning problems

Who Should Attend

  • Developers
  • Data Scientists

Prerequisites

The participants should have some knowledge with python language

Course Contents

Important packages

  • Numpy
  • Matplotlib and seaborn
  • Scipy and Scikits
  • Pandas

Why Learn

Applications

Machine Learning Process

Learning Types:

  • Supervised Learning
  • Unsupervised Learning
  • Semi-Supervised Learning
  • Active Learning
  • Reinforcement learning

Variables and features

Classification

Regressions

Types of Data

Data preparation and cleaning

Data visualization

Scikit Learn

Models:

  • Linear Regression
  • Logistic Regression
  • Support vector machines
  • Decision trees and random forests
  • Naïve Bayes
  • KNN

Deep Learning overview

Neural Networks

NLP



DevGeekWeek 2020





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Contact

DevGeekWeek 2020





By entering your email address, you agree that John Bryce training will use it for marketing purposes, emails and newsletter, as well as promotional offers and announcements, according to John Bryce training & Matrix group privacy policy. Your data will be saved in our computerized database, number 700019285. You can unsubscribe at any time by mailing infomail@johnbryce.co.il or by calling 03-7100777.

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