Machine Learning using Python
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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Lecture 1Environment setup
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Lecture 1Python Basic
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Lecture 1Python Function
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Lecture 1Python OOPs
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Lecture 1Introduction to NumPy
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Lecture 2NumPy Arrays
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Lecture 3NumPy Operation
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Lecture 1PANDAs Introduction
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Lecture 2Series in Panda
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Lecture 2Panda DataFrames
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Lecture 2Missing Data with Panda
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Lecture 2Merging Joining and Concatenating
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Lecture 2Operations
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Lecture 2Data Input and Output
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Lecture 1Introduction to Matplotlib
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Lecture 2MatplotLib different data ploting
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Lecture 3Different ploting using Seaborn
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Lecture 1Supervised Learning
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Lecture 2Evaluating Performance
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Lecture 2Classification Error Metrics
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Lecture 2Evaluating Performance – Regression
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Lecture 2Error Metrics
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Lecture 1Overview of SciKit Learn
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Lecture 2Solution wih data on Regression Analysis
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Lecture 1Logistic Regression Theory
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Lecture 2Logistic Regression Project and Solution
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Lecture 1KNN Theory
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Lecture 2KNN Project Solutions
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Lecture 1Introduction to Tree Methods
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Lecture 2Decision Trees and Random Forest with Python
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Lecture 3Decision Trees and Random Forest Project and Solutions
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Lecture 1SVM Theory
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Lecture 1Support Vector Machines with Python
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Lecture 1SVM Project Solutions
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Lecture 1K Means Algorithm Theory
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Lecture 1K Means with Python
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Lecture 1K Means Project Solutions
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Lecture 1Natural Language Processing Theory
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Lecture 1Natural Language Processing with Python
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Lecture 1Natural Language Processing Project Solutions
