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Machine Learning Training Course in Pune

80,121 Ratings

Become a ML Engineer in Pune with our online Machine Learning Course in Pune in 7 months

  • Master Machine Learning Algorithms, Advanced statistics, PowerBI, Python and more
  • Get Machine Learning Training in Pune from Top Industry Experts
  • Machine Learning Certification by Intellipaat (Recognized across 1000+ MNCs)

Ranked #1 Data Science Program by India TV

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ML Certification Course Key Features

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from Top Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support
No-cost EMI Option
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Machine Learning Course in Pune Overview

What will you learn in this machine learning course in Pune?

Intellipaat, one of the leading e-learning institutes, provides this machine learning course in Pune. In this course, you will learn:

  • Data analysis, project life cycle, and Data Science in the real world
  • Python with data
  • Data science projects, analytics, and recommender systems
  • Natural language processing and its applications
  • Techniques of evaluation, experimentation, and project deployment
  • Data visualization with Tableau
  • Deploying machine learning models on Clouds (MLOps)
  • Git, Storytelling
  • Data science at scale with PySpark, and AI with TensorFlow
  • Machine Learning algorithms
  • Analysis segmentation using clustering and the technique of prediction
  • Microsoft Excel for data analysis and data transformation

These machine learning classes in Pune can be chosen by:

  • Professionals in analytics, data science, e-commerce, and search engine domains
  • Professionals looking for a career switch
  • Fresh graduates

Anyone can take up these machine learning classes in Pune, regardless of their prior skills. However, basic programming skills can be helpful.

Pune is one of the most developed cities in India and a crucial IT hub for the country. Since machine learning is one of the trending technologies in the industry and a vital part of advanced statistics and data inference, machine learning with Python programming has gained immense prominence in this market. So, candidates who have sound knowledge of this technology have a bright future in this city.

This machine learning course in Pune is led by machine learning experts from leading industries in India and the US. It focuses on helping you understand ML fundamentals, such as natural language processing (NLP), Python, and more. Moreover, you will work on real-world assignments and projects that will enhance your learning experience.

Some of the reasons why you should sign up for this machine learning training in Pune are as follows:

Job Portal Number of Open Positions Average Salary (INR)
Indeed 5000+ ₹ 550,000 per annum
LinkedIn 6852 ₹ 600,000 per annum
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Machine Learning engineers rank among the top emerging jobs. - LinkedIn
The global Machine Learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Machine Learning Mentors

Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

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Tools Covered

python jupyter Scipy numpy pandas matplotlib tensorflow SQL tableau excel git
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Machine Learning Course Fees in Pune

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
23 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

30 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

06 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

13 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

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Machine Learning Course in Pune Curriculum

Live Course Industry Expert Academic Faculty

Module 1 – Preparatory Session - Python

Preview

Python 

  • Introduction to Python and IDEs – The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc. 
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
  • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. 

Module 2 – Data Wrangling with SQL

Preview

SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables 

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table. 
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc. 
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).

Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.

Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, central limit theorem. 

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.

Introduction to Machine Learning 

  • Supervised, Unsupervised Learning.
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables.
  • How to train the model in a regression problem.
  • How to evaluate the model for a regression problem.
  • How to optimize the efficiency of the regression model.

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables.
  • How to train the model in a classification problem.
  • How to evaluate the model for a classification problem.
  • How to optimize the efficiency of the classification model.

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables.
  • How to train the model in a clustering problem.
  • How to evaluate the model for a clustering problem.
  • How to optimize the efficiency of the clustering model.

Supervised Learning 

  • Linear Regression – Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
  • Logistic Regression – Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.
  • Decision Tree – Creating decision tree models on classification problems in a tree like format with optimal solutions.
  • Random Forest – Creating random forest models for classification problems in a supervised learning approach.
  • Support Vector Machine – SVM or support vector machines for regression and classification problems.
  • Gradient Descent – Gradient descent algorithm that is an iterative optimization approach to finding the local minimum and maximum of a given function.
  • K-Nearest Neighbors – A simple algorithm that can be used for classification problems.
  • Time Series Forecasting – Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.

Unsupervised Learning 

  • K-means – The k-means algorithm that can be used for clustering problems in an unsupervised learning approach.
  • Dimensionality reduction – Handling multi dimensional data and standardizing the features for easier computation.
  • Linear Discriminant Analysis –  LDA or linear discriminant analysis to reduce or optimize the dimensions in the multidimensional data.
  • Principal Component Analysis – PCA follows the same approach in handling the multidimensional data.

Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning
  • Deep neural networks
  • Convolutional Neural Networks 
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, Restricted Boltzmann machine

The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
  • Feature engineering and scaling the data for various problem statements. 
  • Model selection and model building on various classification, regression problems using supervised/unsupervised Machine Learning algorithms.
  • Assessment and monitoring of the model created using the Machine Learning models.

Electives:

Power BI Basics

  • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data.

  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Excel Fundamentals 

  • Reading the Data, Referencing in formulae , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles

Excel Power Tools 

  • Power Pivot, Power Query and Power View

Classification Problems using Excel

  • Binary Classification Problems, Confusion Matrix, AUC and ROC curve
  • Multiple Classification Problems  

Information Measure in Excel

  • Probability, Entropy, Dependence
  • Mutual Information

Regression Problems Using Excel

  • Standardization, Normalization, Probability Distributions
  • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
  • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression

Hands-on Exercise:

Classification problem using excel on sales data, and statistical tests on various samples from the population.

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Machine Learning Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Hackathons
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Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Machine Learning Certification

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As part of this ML program, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.

Certification from Intellipaat is issued once you successfully work on the projects (after expert review) and score at least 60 percent on the quiz.

You would be glad to know that Intellipaat’s certification training is recognized by more than 500 top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

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Machine Learning Course in Pune FAQs

What are the other top machine learning courses Intellipaat offers in Pune?

Intellipaat offers one of the best ML courses in Pune that will help you become a successful ML engineer. Other courses such as data science, artificial intelligence, R programming, Business Analyst, Data Analytics, Business Analytics, and others are comprehensive and tailor-made to suit you as per the industry needs.

Machine learning is basically the process to collect real-world data, extract useful information from it, and then take action to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

No doubt, machine learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.
Here at Intellipaat, we create our program by taking into consideration our learners come from varied backgrounds. So, we curate machine learning classes from the basic level and gradually increase the difficulty level for you to easily grasp all the concepts taught as part of the training program. Further, we make sure that, by the end of the program, your skills will be equivalent to 6-months of experience in this technology.

These machine learning certification course classes are curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.

Here, you will learn mathematics, statistics, etc., and then go on to gain in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.

Among various other institutes that provide the Python machine learning course online in Pune, Intellipaat offers it at the most reasonable and affordable rate of ₹100,035.

You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to as and when required.

We select instructors who are top SMEs in the industry with a minimum of 8 to 12 years of experience in the field of machine learning. They are all extremely qualified trainers in the field of machine learning and artificial intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.

Intellipaat’s teaching assistant team consists of technical experts who help learners in various aspects, including doubt clearance, assignment sessions, and project evaluation.

Intellipaat has been serving machine learning enthusiasts from every corner of the city. You can be living in any locality, be it Pimpri Chinchwad, Viman Nagar, Kharadi, Baner, Magarpatta, Hinjawadi, Aundh, Kothrud, Pimple Saudagar, Kalyani Nagar, Hadapsar, Erandwane, Hadapsar, Wakad, or anywhere. You can have 24/7 access to our machine learning online course sitting at your home or office.

Area Name Postal Code
Bajirao Road 411002
Yerwada 411006
Kasba Peth 411011
Dhanori 411015
Pune City 411022
Hadapsar S.O 411028
Airport 411032
Afmc 411040
Karve Road 410038
Ammunition Factory Khadki 411003
Aundh 411007
Dapodi 411012
Gokhalenagar 411016
Kudje 411023
Kothrud 411029
Mundhva 411036
Tingre Nagar 411000
A.R. Shala 411004
Baner Road 411004
Magarpatta City 411013
Botanical Garden 411020
Khadakwasla 411024
Lokmanyanagar 411030
Bibvewadi 411037
Bhavani Peth 411042
Dhayari 411041
Dhankawadi 411043
C D A O 411001
Shivajinagar 411005
Parvati 411009
9 Drd 411014
Armament 411021
Donje 411025
Bopkhel 411031
Bhusari Colony 411038
Haveli 411045
Jambhulwadi 411046
Lohogaon 411047
Khondhwa 411048
Anandnagar 411051
Navsahyadri 411052
Chatursringi 411053
Gokhalenagar 411055
Warje 411058
Mohamadwadi Kadvasti 411060
Janaki Nagar 411066
Aundh 411067
Pimpri Chinchwad 411078
Nanded 411230
Gondhale Nagar 412029
Sathe Nagar 412047
Alandi Devachi 412105
Ambarvet 412115
Ashtapur 412207
Manjari Farm 412307
Phursungi 412308
Viman Nagar 411014
Shaniwar Peth 413337

Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail of the group discount for our machine learning advance course, you need to contact our course advisors, who will help you with all your doubts regarding the discount offers we provide.

Intellipaat accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from at your convenience. You can speak to our advisors to get more details about different EMI options as well.

This machine learning class in Pune provides material that comprises all the modules that are necessary to learn this popular technology. These pre-recorded video lectures and material are extremely effective, as they allow you to complete the whole program at your own pace and take your time to learn the concepts thoroughly.

You can speak to our advisors for detailed information about ML course, and they will help you select the best-suited one for you based on your skill set and work experience.

After successfully completing the entire program and executing all the given industry-based exercises and projects, you will receive the ML certificate from Intellipaat.

ML certification is recognized by over 500 top MNCs across the world, including companies, such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.

As a part of our online machine learning certification training, we provide practice tests and assignments that will help you prepare for real-life examinations and jobs. These tests also let you assess yourself on what you have learned and how much you have grasped.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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