Machine Learning using Python

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Become an expert in App development using Machine Learning using Python certifications training course. You will be a master in App development using Machine Learning using Python and many more

About the Course

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. In this article, we’ll see the basics of Machine Learning and the implementation of a simple machine learning algorithm using python.

Machine Learning using Python

Python is a general-purpose high-level programming language that is being increasingly used in data science and in designing machine learning algorithms. This tutorial provides a quick introduction to Python and its libraries like numpy, scipy, pandas, matplotlib and explains how it can be applied to develop machine learning algorithms that solve real world problems. This tutorial starts with an introduction to machine learning and the Python language and shows you how to set up Python and its packages. It further covers all important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. This tutorial also provides various projects that teach you the techniques and functionalities such as news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, and other several important machine learning algorithms.

Why should I learn Machine Learning using Python from Ogma TechLab?

This course forms an ideal package Machine Learning using Python to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics like data exploration, data visualization, predictive analytics etc.

Requirements

  • Access to a computer (Windows, Mac or Linux)
  • No previous programming experience is assumed

Course Objectives

During this course, our expert MAchine Learning instructors will help you:
  • 1. Master the Basic Concepts of Python
  • 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
  • 3. Master the Concepts of Machine Learning algorithms
  • 4. Learn Supervised and Unsupervised learning and predition using python
  • 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application

Who should go for this course?

Experienced professionals or Beginners. Anyone who wants to learn programming with Python can start right away! The course is exclusively designed for professionals aspiring to make a career in Python. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquiring a solid foundation of this widely-used open source general-purpose scripting language, can also opt for this course.

Curriculum

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    Environment setup
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    Python Basic
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    Python Function
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    Python OOPs
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    Introduction to NumPy
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    NumPy Arrays
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    NumPy Operation
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    PANDAs Introduction
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    Series in Panda
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    Panda DataFrames
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    Missing Data with Panda
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    Merging Joining and Concatenating
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    Operations
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    Data Input and Output
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    Introduction to Matplotlib
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    MatplotLib different data ploting
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    Different ploting using Seaborn
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    Supervised Learning
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    Evaluating Performance
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    Classification Error Metrics
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    Evaluating Performance – Regression
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    Error Metrics
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    Overview of SciKit Learn
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    Solution wih data on Regression Analysis
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    Logistic Regression Theory
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    Logistic Regression Project and Solution
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    KNN Theory
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    KNN Project Solutions
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    Introduction to Tree Methods
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    Decision Trees and Random Forest with Python
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    Decision Trees and Random Forest Project and Solutions
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    SVM Theory
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    Support Vector Machines with Python
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    SVM Project Solutions
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    K Means Algorithm Theory
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    K Means with Python
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    K Means Project Solutions
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    Natural Language Processing Theory
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    Natural Language Processing with Python
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    Natural Language Processing Project Solutions