Machine Learning With Python

Course Description

State Of The Art Customized (CentOS 7.3 + XFCE) VM Designed with plethora of Latest Items for Big Data / ML / Analytics / ETL / DB Development including Scala IDE, Eclipse IDE, VS Code, Anaconda, R Studio & Talend Open Studio. VMWare Installation & Environment Set-up.

Anaconda Distribution, Spyder & Python Basics for ML.

Understanding Libraries NumPy & Pandas (Data Analysis), Matplotlib (Data Visualization).

Industry Compliant Practical Curriculum On Latest Stacks

Multiple Domains Simulated Data Patterns for Real Life Project Scenarios.

Guidance for Resume Preparation & Interview Questions.

POCs Suggestions for further practice and perusal. Mock Interviews for Interested Candidates.

Discussing Current Market Standards & New / Incubating Tech. Other Q & A, Doubt Clearance

Course Content

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    Module 2: Regression

    • Simple Linear
    • Multiple Linear
    • Backward Elimination
    • Polynomial
    • Support Vector (SVR)
    • Decision Tree
    • Random Forest
    • Logistic
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    Module 3: Classification

    • K-Nearest Neighbors (K-NN)
    • Support Vector Machine (SVM)
    • Kernel SVM
    • Naive Bayes
    • Decision Tree
    • Random Forest
    • Models Performance Evaluation

Key Features

64 hours of high quality training


Trainers are Industry experts & Certified from the governing body


Comprehensive up-to date contents


Exercises & Hands-on assignments


Batch size will not be more than 10-15 candidates


100% Money back guarantee


Lifetime support will be given to the candidate like a Whatsapp discussion forum, Mock tests, study material to prepare for the Certifcation exam


Course completion certificate


After completion of Certification Exam, Mock Interviews will be conduted by the Trainers and prepare the candidates to face Interviews.



Group Discount

10% discount for 3 or more registration

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    Who are the Instructors?

    • We believe in quality & follow a rigorous process in selecting our trainers. All our trainers are industry experts/ professionals with an experience in delivering trainings
Date Time Course Type Price

18-Aug-2018

10:00 Am

Classroom Training

45000/-