Machine Learning in Python the complete guide 2020

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About Course

Machine Learning (ML) Certification Training using Python helps you gain expertise in various Machine Learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning.

This ML with Python Training introduces you to statistics, time series, and various types of machine learning algorithms such as supervised, unsupervised, and reinforcement algorithms. You’ll be solving real-life case studies in media, healthcare, social media, aviation, and human resources in the Data Science Certification Course.

 

Why Go for this Course?

Data Science is a set of techniques that allow computers to learn desired actions from data without needing to be specifically programmed. It relies on techniques and hypotheses from a wide variety of disciplines, including mathematics, statistics, information technology, and computer science. This course exposes you to different classes of ML algorithms like supervised, unsupervised, and reinforcement algorithms. This course will teach you data pre-processing, dimensional reduction, and model validation, as well as introduce you to various machine learning algorithms such as regression, clustering, decision trees, random forest, Naive Bayes, and Q-Learning.

 

Why learn Python?

Python is common with programmers because it is quick and simple to use. Python’s easy-to-understand syntax and compilation function cut development time in half. Python’s built-in debugger allows testing the programs a breeze. Programmers are more efficient when they use Python, and their applications are stronger as a result. Python remains a popular choice among data scientists for developing and deploying machine learning applications and other scientific computations. Python is available for Windows, Linux/Unix, and Mac OS, as well as Java and.NET virtual machines. Python is free to use, including for commercial goods, thanks to an open-source license licensed by the OSI. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicate that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

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What Will You Learn?

  • 1. Master the Basic and Advanced Concepts of Python
  • 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
  • 3. Master the Concepts of Sequences and File operations
  • 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
  • 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
  • 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
  • 7. Master the concepts of MapReduce in Hadoop
  • 8. Learn to write Complex MapReduce programs
  • 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
  • 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
  • 11. Master the concepts of Web scraping in Python
  • 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

Course Content

Machine Learning in Python

  • What is Machine Learning?
    00:00
  • Top 10 Books for Machine Learning
    00:00
  • Top 10 Applications of Machine Learning
    00:00
  • Machine Learning Tutoria
    00:00
  • AI vs Machine Learning vs Deep Learning
    00:00
  • How To Become A Machine Learning Engineer?
    00:00
  • 10 Must Have Machine Learning Engineer Skills
    00:00
  • Machine Learning Engineer Jobs, Resume & Salary
    00:00
  • Principal Component Analysis in Python
    00:00
  • Python Tutorial for Beginners
    00:00
  • Python Machine Learning Tutorial
    00:00
  • How Netflix uses Python
    00:00
  • Python Seaborn Tutorial
    00:00
  • Scikit Learn Tutorial
    00:00
  • Top 10 Python Libraries
    00:00
  • Top 10 Reasons to Learn Data Science
    00:00
  • K Means Clustering Algorithm
    00:00
  • Logistic Regression in Python
    00:00
  • Linear Regression Algorithm
    00:00
  • Linear Regression vs Logistic Regression
    00:00
  • Time Series Analysis in Python
    00:00
  • Decision Tree Algorithm
    00:00
  • Python Projects For Beginners
    00:00
  • Python Certification
    00:00
  • Machine Learning Interview Questions and Answers
    00:00
  • KNN Algorithm using Python
    00:00
  • Naive Bayes Classifier in Python
    00:00
  • A Quick Guide To Sentiment Analysis
    00:00
  • Reinforcement Learning Tutorial
    00:00
  • Python Programming Language: Interesting Facts You Need To Know
    00:00
  • Twitter Sentiment Analysis
    00:00
  • Machine Learning With Python
    00:00
  • Python Tutorial For Beginners
    00:00
  • PyTorch vs TensorFlow
    00:00
  • Azure Machine Learning Tutorial
    00:00
  • Machine Learning Projects
    00:00
  • Stemming And Lemmatization Tutorial
    00:00
  • Supervised vs Unsupervised vs Reinforcement Learning
    00:00
  • Data Science vs Machine Learning
    00:00
  • Probabilistic Graphical Models (PGMs) In Python
    00:00
  • Apriori Algorithm Explained
    00:00
  • Boosting Machine Learning Tutorial
    00:00
  • Data Science Full Course
    00:00
  • Artificial Intelligence Full Course
    00:00
  • Jupyter Notebook Tutorial
    00:00
  • How To Become A Python Developer?
    00:00
  • Machine Learning Basics
    00:00
  • E & ICT Academy NIT Warangal Partners
    00:00
  • Artificial Intelligence Tutorial for Beginners
    00:00
  • What Is Artificial Intelligence?
    00:00
  • Q Learning Explained
    00:00
  • Data Science and Machine Learning for Non Programmers
    00:00
  • Top Machine Learning Tools and Frameworks for Beginners
    00:00
  • Best Python Libraries For Data Science & Machine Learning
    00:00
  • Classification in Machine Learning
    00:00
  • Hill Climbing Algorithm
    00:00
  • Find-S Algorithm in Machine Learning
    00:00
  • Cross-Validation In Machine Learning
    00:00
  • EM Algorithm In Machine Learning
    00:00
  • Mathematics for Machine Learning [Full Course]
    00:00
  • Bias-Variance In Machine Learning
    00:00
  • Python for Data Science
    00:00
  • What Are GANs?
    00:00
  • What’s New in Pandas 1.0.0
    00:00
  • Future of AI/ML
    00:00
  • COVID – 19 Outbreak Prediction using Machine Learning
    00:00
  • Stock Prediction using Machine Learning and Python
    00:00
  • How to Select the Correct Predictive Modeling Technique
    00:00
  • Top 10 Machine Learning Trends
    00:00

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