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Course Details

  • Course Overview
  • Course Objective
  • Who Can Benefit
  • Prerequisite
  • Syllabus

Understanding the Machine learning concepts with Python

  • Objective of this course it familiarises the participant about the Machine learning concepts and how to realize them. Participant will be able to solve some Machine learning problems in python.
  • Any person who wants to learn Machine and want to take a step ahead in Data Science
  • 9-10th Standard of Maths knowledge is required.
Module: Data Science - Basic Statistics
Duration: 4 Hours
  • Measures of Central tendency
  • Measures of Dispersion
  • Skewness and Kurtosis

Module: Data Science - Probability Theory
Duration: 4 Hours

  • Events and their Probabilities
  • Rules of Probability
  • Conditional Probability and Independence
  • Distribution of a Random Variable,Moment Generating functions,, Central Limit Theorem
  • Expectation and Variance
  • Naïve Bayes

Module: Python- Python IDE
Duration: 2 Hours

  • What is Python?
  • Installing Anaconda 
  • Understanding the Spyder Integrated Development Environment (IDE)

Module: Python- Python basics and string manipulation
Duration: 2 Hours

  • lists, tuples, dictionaries, variables

Module: Python- Data and information management with python
Duration: 3 Hours

  • learning Python Basics

Module: Python- Data Structures in Python Used for Data Analysis
Duration: 4 Hours

  • Intro to Numpy Arrays
  • Creating ndarrays
  • Indexing
  • Data Processing using Arrays
  • File Input and Output
  • Getting Started with Pandas

Module: Python- Data Frame Manipulation
Duration: 2 Hours

  • Data Acquisition(Import & Export)
  • Indexing
  • Selection and Filtering
  • Sorting & Summarizing
  • Descriptive Statistics
  • Combining and Merging Data Frames
  • Removing Duplicates
  • Discretization and Binning
  • String Manipulation

Module: Python- Visualization
Duration: 2 Hours

  • Line Plots
  • Bar Charts
  • Pie Charts
  • Histograms
  • Scatter Plots 
  • Parallel Coordinates

Module: Machine Learning - Predictive Modelling Tools
Duration: 3 Hours

  • Intro to Machine Learning
  • Intro to Sklearn Library and Statsmodels

Module: Machine Learning - Analytics using Python
Duration: 4 Hours

  • Simple Regression Analysis
  • Multiple Regression

Module: Machine Learning - Logistic Regression
Duration: 3 Hours

  • Assumptions
  • Reason for the Logit Transform
  • Logit Transformation
  • Hypothesis
  • Variable and Model Significance
  • ROC Curve
  • Model Specification

Module: Machine Learning - Naïve Bayes Algorithm for Multi Class Predictions with case study
Duration: 3 Hours

  • Bayesian Theorem
  • Probabilities - The Prior and Posterior Probabilities
  • Conditional and Joint Probabilities Notion
  • Traditional Approach - Extract Important Features
  • Naive Approach - Independence of Features Assumption
  • Data Processing - Discretization of Features
  • Model Building / Testing / Validation
  • Advantages & Disadvantages of Naïve Bayes Models

Module: Machine Learning - K Nearest Neighbours Algorithm for Classification with case study
Duration: 4 Hours

  • Lazy Learning Notion
  • Computation of Distance Matrix
  • The Optimum K value
  • Data Transformations as a Pre Processing Phase
  • Model Building on Training Data Set
  • Model Validation on Testing Data Set
  • Evaluation of Model
  • Advantages & Disadvantages of KNN Models


  • Developers

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

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  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
  • 10+ years of Training Expertise
  • Certified instructors with industry standard experience
  • Tailor made training available
  • 6+ training Locations
  • 100000 + professional trained
  • Customer Satisfaction
  • Reliable and Most cost effective Training

Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

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