Machine Learning Course

Machine Learning Course

Machine Learning Course

Our Machine Learning with python & Machine Learning with R Training in Pune, Mumbai, and Thane aims to teach the complete Data Warehousing Concepts in an easier way. Machine Learning using R and Machine Learning using Python programming We are the Best Machine Learning  with r and Machine Learning with python Training Institute in Pune, Mumbai, and Thane in-terms of a syllabus and expert teaching. We are covering almost all the transformations which are required for companies in Informatica.

Batch Schedule for Machine Learning with Python or R Training

GoalsInfo Cloud Technologies provides flexible timings to all our students. Here are the Machine Learning with Python or R Training Classes in Pune, Mumbai, and Thane Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

11-07-2019 Starts Coming Thursday (Monday – Friday)08:00 AM (IST)Course Fees

15-07-2019 Starts Coming Monday (Monday – Friday)08:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)11:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)10:00 AM (IST)Course Fees

Machine Learning using R Training Syllabus

Module 1- Introduction to Data Analytics (Duration: 04:00:00 hrs)

  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Machine Learning using R Training Syllabus

Module 1- Introduction to Data Analytics (Duration: 04:00:00 hrs)

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R
  • Perform basic operations in R using command line

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Module 2- Introduction to R programming (Duration: 03:00:00 hrs)

Objectives:

  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • Will cover the basics of data types and conversion between them

Topics:

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Factors
  • Using c, Cbind, Rbind, attach and detach functions in R

Module 3- Data Manipulation in R (Duration: 04:00:00 hrs)

Objectives:

  • In this module, we start with a sample of a messy dataset and perform Data Cleaning on it, resulting in a dataset, which is ready for any analysis.
  • Before starting any analysis data cleaning is the first process to do

Topics:

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in R (Duration: 04:00:00 hrs)

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file
  • This module teaches you various data importing techniques in R.

Topics:

  • Reading and writing flat files – text,csv,Excel
  • Reading Techniques in R
  • How to connect mysql with R
  • Saving and loading R format

Module 5 – Loops and Date (Duration: 04:00:00 hrs)

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file
  • This module teaches you various data importing techniques in R.

Topics:

  • For / While / if loop
  • Break and continue
  • How to convert to date format
  • How to slice dates information (Year, Quarters, Months, Days, Hours etc..,)
  • How to get difference between two days (Year, Quarters, Months, Days, Hours)

Module 6 – Exploratory Data Analysis (Duration : 05:00:00 hrs)

Objectives:

  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics:

  • Box plot
  • Histogram
  • Doughnut graph
  • Pie graph
  • Line chart
  • Scatterplot

Module 7 – Statistics and Machine Learning – Regression and Classification (Duration : 12:00:00 hrs)

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and machine learning concepts
  • All algorithm explained by – what is the mathematics behind for that, how it is getting different from other algorithm, which scenario want to apply, how to interpret with R and what insights getting from final result

Statistics Topics:

  • Probability
  • Hypothesis Testing – Null Hypothesis and Alternate Hypothesis
  • Standard deviation and Variance
  • Correlation
  • Outliers – Detection and Replacement method
  • T test- Unpaired and Paired
  • Chi square
  • Anova

Machine Learning Topics:

  • Linear Regression
  • Multiple Regression
  • Logisitic Regression
  • Naïve Bayes Classifier
  • Variable selection on model
  • K means Clustering
  • Decision Tree
  • SVM
  • Time series forecasting

Module 7- Project work (Duration : 08:00:00 hrs)

  • 3 Real-time projects

Machine Learning using Python Training Syllabus

Machine Learning using Python Training Syllabus Total Duration: 44:00:00 hrs

PYTHON Programming (6 hrs)

  • Installation & Python basics.
  • Python looping, conditional statements.
  • Data Structures.
  • Classes & Functions.

Introduction to Python Libraries (7 hrs)

  • Numpy
  • Pandas
  • Matplotlib & Seaborn
  • Scikit learn

Statistics (6 hrs)

  • Descriptive Statistics
  • Measure of Frequency, Central tendency, dispersion/variation.
  • Inferential Statistics
  • Probability.

Data preparation (2hrs)

  • PCA
  • Dimensionality Reduction
  • Univariate & Multivariate Analysis

Machine Learning Algorithms (20hrs)

  • Forecasting & Smoothing
  • Regression
  • Logistic Regression
  • Naive Bayes
  • Clustering
  • Decision Trees & Ensemble modelling
  • Support Vector Machines
  • NLP
  • Deep Learning
  • Project on Real Time Implementation

FAQs

Call now: +917550235061 or +917624941770 and know the exciting offers available for you!

GoalsInfo Cloud Technologies offers 250+ IT training course in more than 20+ branches with 10+ years Experienced Expert level Trainers.

  • Fully hands-on training
  • 30+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification guidance
  • Own course materials
  • Resume editing
  • Interview preparation
  • Affordable fees structure

GoalsInfo Cloud Technologies is the Legend in offering placement to the students. 

More than 2000+ students placed in last year. It has a dedicated placement portal which caters to the needs of the students during placements. GoalsInfo Cloud Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.

  • 92% percent placement record.
  • 1000+ interviews organized.

Our trainers are more than 10+ years of experience in course relevant technologies. Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.

Trainers have experienced on multiple real-time projects in their industries.

  • Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc…
  • Trained more than 2000+ students in a year.
  • Strong theoretical & practical knowledge.
  • Are certified professionals with high grade. Are well connected with hiring HRs in multinational companies.

No worries. GoalsInfo Cloud technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training