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Machine Learning using Python

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Machine Learning using Python

machine learning using Python

Machine Learning using Python

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Machine Learning using Python online training in Bangalore is for folks who looking for high salary jobs in the competitive market of technology.  This course covers everything you need to know to master the subject Data Science and Machine Learning with Python.

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  • Description
  • Syllabus
  • Why Us?
  • Reviews (6)

Description

Machine Learning with Python is a 60 hour long, Online Course. Our training is going to help you crack Job interviews by making you understanding the logic of all the algorithms, with loads of real time examples, hackathons and surprise tests. Join the best Online Training Institute in Bangalore and get trained on Machine Learning using Python.

 

Process:

Prerequisites:

  1. Its an online course. A laptop or a desktop with minimum 6GB RAM and a Good internet connection is expected.
  2. Python programming and scripting knowledge is mandatory. Don’t worry if you are not aware of it. We can teach you that as well. Click here for more info.
  3. At least high school level math skills will be required.
  4. Anaconda installation. We will guide you through the installation process.

 

Learning Outcome:

This course will enable students to:

  1. Make predictions using Supervised and Unsupervised Learning Techniques.
  2. Classify data using Clustering techniques.
  3. Use regression and classification techniques.
  4. Understand reinforcement learning.
  5. Association Rule.
  6. Natural Language Processing.
  7. Deep Learning – Artificial Neural Network.

 

High level overview Module-wise:

  1. Installation and history.
  2. Mathematics with Python.
  3. Data Preprocessing.
  4. Regression and Classification Techniques.
  5. Clustering Algorithms.
  6. Association Rule and Reinforcement Learning.
  7. Natural Language Processing with Project.
  8. Artificial Neural Network with Project.
  9. Principle Component Analysis.
  10. Model Selection.

View syllabus tab to see the detailed topic covered in this course.

Module 1:

  • Why should you learn to write programs?
  • Introduction to Python. History of Python
  • Variables.
  • Numbers
  • Number Methods
  • Expressions and statements.
  • Conditional execution.
  • Built in Functions.
  • User Defined Functions.
  • Multiple Argument.
  • Multiple Keyword Argument.
  • Print statements.
  • Print formatting.

Module 2:

  • For loop.
  • While Loop.
  • For-else.
  • While-else.
  • String handling.
  • String manipulate.
  • String Methods.
  • Indexing.
  • Slicing.
  • Range & Xrange.
  • File handling – Open, Write, Read, Insert, Delete.
  • File handling csv, excel, text.

Module 3:

  • Lists.
  • List Comprehension.
  • List Methods.
  • Dictionaries.
  • Dictionary Comprehension.
  • Dictionary Methods.
  • Tuples.
  • Tuple Methods.
  • Regular Expressions:
    • Findall
    • Search
    • Match
    • Meta characters
    • Special Sequences
    • Sets.

Module 4:

  • Object Oriented Programming Basic Understanding using real time scenarios.
    • Class
    • Instance
    • Object
    • Functions
    • Methods
    • Inheritance
    • Abstraction
    • Encapsulation
    • Polymorphism
    • Simple Examples with Tests
    • Complex examples with Test.

Module 5:

  • Basics of Networking using Python.
    • Socket Module
      • Server Socket Methods
      • Client Socket Methods
      • General Socket Methods
    • Overview of Python Internet Modules.

Module 6:

  1. Importing Data sets.
  2. Working with Data sets.
  3. Fixing missing data issue.
  4. Fixing categorical data issue.
  5. Feature Scaling.
  6. Train Test Split.

Module 7:

  1. Simple Linear Regression Technique.
  2. Multiple Linear Regression Technique.
  3. Polynomial Regression Technique.
  4. Tree Regression Technique.
  5. Random Forest Technique.
  6. Support Vector Regression Technique.
  7. K-Nearest Neighbor Classification Technique.
  8. Logistic Regression Technique.
  9. Kernel Support Vector Machine.
  10. Tree Classification Technique.
  11. Random Forest Classification Technique.
  12. Naive Bayes.

Module 8:

  1. K-Means Clustering.
  2. Hierarchical Clustering.

Module 9:

  1. Apriori Rule.

Module 10:

  1. Natural Language Processing with Project.

Module 11:

  1. Linear Discriminant Analysis.
  2. Kernel Principle Component Analysis.

Module 12:

  1. Model Selection using K-Fold Cross Validation.
  2. Model Selection using Grid Search.

Why Us?

If you’re in this page, then you probably must be those set of folks who believe in “WHAT MORE CAN I GET FROM THIS INSTITUTE!”. And that’s why this page is meant just for those students. Its imperative that you would get trained by the best in the Industry within 60 days. But there’s more to that. You will get:

  1. FREE 6 months email support to all your questions, related to Python, including but not limited to Data Analytics, Data Science, Data Visualization.
  2. FREE project ideas and guidance.
  3. Exclusive membership to Procodetech Facebook group. Its a group of all students and professional, who are gathered to answer and ask questions, share their thoughts related to technology. This group has members who have over 15+ years of experience in IT.
  4. We help you Prepare for your On Campus InterviewsFREE of Cost. For process, please write to us at [email protected]
  5. Our Trainers are 10 years experienced IT professionals, working in MNCs like Dell, GE, Verifone, etc. They specialize in Tableau and related field.
  6. We believe in training students by making them understand the logic. We strictly maintain NO MUG-UP Policy, wherein, we make sure that the student isn’t mugging up the subject and instead understands it properly.
  7. 10% of your fees is donated to Old Age Home and 10% to Animal Shelter. We believe in Humanity.
  8. scholarship will be given to 1 student, whose tuition fee would be completely waived off. For details, please write to us at [email protected]

So overall, its a sure-shot, win-win situation for folks, who wants to learn Machine Learning using Python the way it should be learnt and also get help with placements and Interview preparations.

6 reviews for Machine Learning using Python

  1. 5 out of 5

    We took machine learning course from procodetech. and FazEel sir and Mari Sir taught us this course. They both are great teachers. I even got prize for winning the competition they kept. i won 1st prize and 1000 rupees. I have never felt learning to be so good. it is the best institute to learn anything.

  2. 5 out of 5

    Procodetech is a awesome training institute and I am trained here on ML. I am from bidar and i took online course from them. They are very patient with students and teach very detailed.

  3. 5 out of 5

    Hi my name is Shameem. I am from Hyderabad. I was part of jan-2019 batch with 7 other students. I really liked the course. I only realised that what i had learnt from 1 institute in Hyderabad was not enough to get a job when i took a test which procodetech took. They are very specific to industry and they say this a lot. it is true. I would like to thank procodetech for being veery patience with me.

  4. 5 out of 5

    good training. I got knowledge her lots. little difficult with my english. bt faz sir help me lot. thanks you sir.

  5. 5 out of 5

    Best Machine learning course. :D:D::D:D:D:D:D:D I just love doing these projects.

  6. 5 out of 5

    I agree with the above comments. Ther is so much to learn in machine learning and our sir fazeel is so good with these things. awesome training. i agree it is best training i have gone thru ever.


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