Machine learning certification course in Bangalore

Sniffer Search provide best Machine learning certification course in Bangalore. This is a instructor lead program from machine learning expert.


At the end of the course you will learn :

  • Data Science using Python
  • Statistical Analysis
  • Supervised and Unsupervised learning algorithm and implementation using Python
  • Reinforcement learning algorithm using Python code imlementation
  • Neural network  using Google TensorFlow and Keras Framework

Why Sniffer Search:

The  Machine Learning certification using Python  is designed and customized as per industry needs.This is a job oriented course where  all qualified candidate are source for interview along with resume preparation.

Why Machine Learning with Python:

Machine Learning using Python  is most popular now because of Python popularity,easy to learn and available Data Science package(Numpy,scipy,pandas,Scikit-learn) and compatibility with google tensorflow and keras framework for Deep learning.

Python for Machine learning has more than 60 percent job for Data Science ,Machine learning and Deep learning  job requirement.

Machine learning  has add many new job in existing vertical like telecom,Finance ,Insurance ,Storage and  Healthcare.


Minimum Qualification for this course:

Masters in Science ,Maths and Statistic or B.E/B.Tech  or M.C.A

Machine learning course offline:

We have offline batch in Machine learning with Python near Manyatta Tech Park, Banaswadi and Kalyan Nagar proximity area.




Course Curriculum

Introduction to machine learning and artificial intelligence
Machine learning fundamentals 00:00:00
Supervised learning algorithm 00:00:00
Unsupervised learning algorithm 00:00:00
Introduction to Exploratory Data Analysis
Introduction to Python programming ,method,and Python variable ,loop and statement
Machine learning fundamentals-Numpy,Pandas,Scipy,Sklearn and Matplotlib
Matplotlib and different example of data plotting like scatter plot,bar plot,box plot ,line graph etc
Supervised and Unsupervised learning algorithm
Linear regression with single and multiple variable- Basic Machine learning for Regression Problem 00:00:00
Logistic Regression with real time use case 00:00:00
K Nearest Neighbours -Machine learning 00:00:00
K means clustering -Machine learning 00:00:00
Naive Bayes Theorem -A machine learning approach 00:00:00
Dimension Reduction and Principal Component Analysis- Unsupervised Machine learning 00:00:00
Principle of PCA and Dimension Reduction 00:00:00
Apply PCA in large Features without impacting Data 00:00:00
Support Vector Machine and Dimension Reduction on Data Set 00:00:00
Decession Tree and Random Forest Algorithm -Machine learning with python
Work on Wine DataSet and Titanic Dataset 00:00:00
Gradient Boosting to increase performance of machine learning algorithm 00:00:00
Reinforcement learning with use case and sample code
Neural Network - how to create artificial Intelligence using Neural network
Introduction to ANN and DNN 00:00:00
Understanding activation function,Epoch,hyper parameter Tuning 00:00:00
Work on Employee Retention and Fraud Analytics Project with Neural Network

Course Reviews


4 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

© Sniffer Search. All rights reserved.

Setup Menus in Admin Panel