Python Machine Learning Course
Best Python Data Science Course with Industry-Certified Excellence!
455 Hours
33 Classes
08 Nov
Noida
08 Nov
Gurgaon
Learning Modes
Classroom Sessions
INR 42,000 + Taxes
(0% Interest EMI – Pay in Easy Installments)
Live Online/ eLearning
INR 32,000 + Taxes
(0% Interest EMI – Pay in Easy Installments)
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Machine Learning Course Overview
No of classes X Hours
33 x 3 = 99 hrs
+ 35 hrs eLearning
Self Study Hours
320 hrs (8-10 hrs/week)
33 Assignments & Projects
Placement Readiness Program
8 Weeks
(Post Certification)
Rated among best Machine Learning courses in India, is ideal program for aspirants who want to pursue hands-on Machine Learning training. This machine learning online course can be attended from anywhere across the globe through fully interactive live online sessions and perfectly suits the bill if you are looking for workshop or classroom based machine learning courses in Bangalore, Delhi (Gurgaon and Noida).
Being India’s top institute we take very meticulous approach to ensure that curriculum of our data science, AI, and ml courses is abreast with latest industry requirements. This is one of first machine learning courses in India when first version was introduced in 2014 with R and since then this program has undergone several revisions. In the current curriculum we use Python for Machine Learning, given that in recent years Python has emerged as a preferred industry choice when it comes to Big Data, AI ML and Artificial Intelligence. (If you are interested to learn Data Science and Machine Learning with R, please check out this course!)
If you are looking to learn Machine Learning but have no prior knowledge of Analytics and Python, please consider Data Science & Machine Learning using Python combo course under offers section.
Considering the cost effectiveness (compared with machine learning online courses fees of other reputed institutes) and real-life application based curriculum, this is the best machine learning online course to learn from your own place or in classroom bootcamp mode.
Course Curriculum
This Machine Learning course with Python will help you to acquire practical and hands-on skills of Machine Learning and covers most widely used techniques. You will begin with introduction to ML, learn both supervised and unsupervised methods, including text mining and natural language programming. Key technique covered in our machine learning certification course are linear & logistics regression, decision trees, ensemble learning, support vector machines, k-nearest neighbour, naïve Bayesian, neural network models, clustering and principal component analysis etc.
Building Blocks and Data Analytics with Excel
Basic Excel
- Excel Environment
- Key Terminologies
- Short Cuts
- Key Functionalities
- Copy-paste-paste special
- Formatting & conditional Formatting
- Basic Excel Functions – Types of Functions
- Relational operators
- Data Sorting, Filtering and Data Validation
- Understanding of Name Ranges
- Pivot tables – Charts
- Basics of charts
Recommender Systems
- Content-based recommender systems
- Collaborative Filtering
Time Series Forecasting
- What is forecasting?
- Applications of forecasting
- Time Series Components and Decomposition
- Types of Seasonality
- Important terminology: lag, lead, Stationary, stationary tests, auto correlation & white noise, ACF & PACF plots, auto regression, differencing
- Classification of Time Series Techniques (Uni-variate & Multivariate)
- Time Series Modeling & Forecasting Techniques
- Averages (Moving average, Weighted Moving Average)
- ETS models (Holt Winter Methods)
- Seasonal Decomposition
- ARIMA/ARIMAX/SARIMA/SARIMAX
- Regression
- Evaluation of Forecasting Models
Unsupervised Learning
- Principal Component Analysis
- K-Means Clustering
- Hierarchical Clustering
- Density-Based Clustering
Text Mining using NLP
Introduction to Text Mining
- Text Mining – characteristics, trends
- Text Processing using Base Python & Pandas, Regular Expressions
- Text processing using string functions & methods
- Understanding regular expressions
- Identifying patterns in the text using regular expressions
Text Processing with Modules like NLTK, Sklearn
- Getting Started with NLTK
- Introduction to NLP & NLTK
- Introduction to NLTK Modules (corpus, tokenize, Stem, collocations, tag, classify, cluster, tbl, chunk, Parse, ccg, sem, inference, metrics, app, chat, toolbox etc)
Initial Data Processing and Simple Statistical Tools
- Reading data from file folder/from text file, from the Internet & Web scrapping, Data Parsing
- Cleaning and normalization of data
- Sentence Tokenize and Word Tokenize, Removing insignificant words(“stop words”), Removing special symbols, removing bullet points and digits, changing letters to lowercase, stemming /lemmatization /chunking
- Creating Term-Document matrix
- Tagging text with parts of speech
- Word Sense Disambiguation
- Finding associations
- Measurement of similarity between documents and terms
- Visualization of term significance in the form of word clouds
Advanced Data Processing and Visualization
- Vectorization (Count, TF-IDF, Word Embedding’s)
- Sentiment analysis (vocabulary approach, based on Bayesian probability methods)
- Name entity recognition (NER)
- Methods of data visualization
- word length counts plot
- word frequency plots
- word clouds
- correlation plots
- letter frequency plot
- Heat map
- Grouping texts using different methods
- Language Models and n-grams — Statistical Models of Unseen Data (Smoothing)
Text Mining - Predictive Modeling
- Semantic similarity between texts
- Text Segmentation
- Topic Mining (LDA)
- Text Classification (spam detection, sentiment analysis, Intent Analysis)
Introduction to AI and Cloud Computing
Introduction to Google Colab
Introduction to Google Colab
Introduction to Deep Learning
- What are the Limitations of Machine Learning?
- What is Deep Learning?
- Advantage of Deep Learning over Machine learning
- Reasons to go for Deep Learning
- Real-Life use cases of Deep Learning
- Overview of important python packages for Deep Learning
Introduction to Artificial Intelligence (AI)
- Modern era of AI
- Role of Machine learning & Deep Learning in AI
- Hardware for AI (CPU vs. GPU vs. FPGA)
- Software Frameworks for AI & Deep Learning
- Key Industry applications of AI
Artificial Neural Network
- Overview of Neural Networks
- Activation Functions, hidden layers, hidden units
- Illustrate & Training a Perceptron
- Important Parameters of Perceptron
- Understand limitations of A Single Layer Perceptron
- Illustrate Multi-Layer Perceptron
- Understand Backpropagation – Using Example
- Implementation of ANN in Python- Keras
Introduction to Cloud Computing
- What is Cloud Computing? Why it matters?
- Traditional IT Infrastructure vs. Cloud Infrastructure
- Cloud Companies (Microsoft Azure, GCP, AWS ) & their Cloud Services (Compute, storage, networking, apps, cognitive etc.)
- Use Cases of Cloud computing
- Overview of Cloud Segments: IaaS, PaaS, SaaS
- Overview of Cloud Deployment Models
- Overview of Cloud Security
- AWS vs. Azure vs. GCP
- Implementation of ML/DL model in Cloud
Industrial & Functional Sessions (Domain Understanding)
Industrial & Functional Sessions (Domain Understanding)
- Introduction to Data Sources for Various Industries
- Introduction to Analytics Project Management
- Marketing Analytics
- Risk Analytics
- Operation Analytics
- Digital Analytics (Web Analytics)
- Social Network Analytics
- Banking & Financial Services, Insurance
- Retail & E-Commerce
- Pharma & Health Care
- Telecom & Network
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Who Should Do?
Beginner candidates with prior knowledge of Python and data analytics (using libraries like NumPy and Pandas), looking for Machine Learning certification to up-skill with the practical application of Machine Learning with Python. can benefit greatly from our machine learning courses for beginners.
Job Roles
- Data Science Specialist
- Machine Learning Specialist
- Data Scientist
- Data Science Consultant
- Analytics Consultant
- Statistical Analyst
Key Skills
- Statistical Analysis & Modelling
- Predictive Modelling
- Supervised Machine Learning
- Unsupervised Machine Learning
- Text Mining & NLP
- Data Science Methods
- Machine Learning Modelling
- Check your eligibility
Capstone Projects
In addition to multiple case studies used for class sessions, our best ml course online includes following assignments and projects for self-study and hands-on skills.
Assignments
- 2 exercises for statistical analysis
Projects
- Predicting credit card spend (regression methods)
- Retail chain sales forecasting (multivariate time series)
- Network intrusion detection (Supervised machine learning)
- Banking customer cluster (Unsupervised machine learning)
- Online job posting analysis (Text mining & NLP)
- Bank reviews analysis (Text mining & NLP)
Programming Tools and Languages
Training Modes
Weekend Classroom
Advance your career on your schedule with our flexible weekend classes. Ideal for working professionals, these thoughtfully structured sessions offer practical, mentor-led learning without interrupting your weekday commitments—delivering impactful results at a sustainable pace.
Live Online/ eLearning
Choose your learning experience: Join Live Online sessions for real-time interaction with expert instructors or opt for Blended eLearning, offering the flexibility to learn anytime, anywhere. Both options provide a rich, effective learning experience, empowering you to master skills your way.
Program Fees
Weekend Classroom
₹ 42,000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Live Online/ eLearning
₹ 32,000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Data Science & Machine Learning Certification
With our strong domain expertise, AnalytixLabs certifications are highly valued and widely respected across the industry. As India’s leading Data Science institute, we uphold a rigorous and credible certification process to ensure our students are thoroughly prepared for real-world challenges.
Certification is awarded only upon successful completion of all the stipulated course requirements, which include, but are not limited to, case studies, MCQs, and viva assessments—all to be completed within the defined timelines.
Candidates are given two attempts per assessment, and the certification must be completed within one year of course enrollment.
Career Support
AnalytixLabs offers strong placement support as part of its Advanced Certifications in AI, Data Science, and Analytics. A dedicated team provides personalized career guidance and job assistance, aligning with each student’s educational background and prior work experience. This comprehensive support is aimed at helping students successfully launch or transition into careers in data science and analytics.
Placement Readiness Program
The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.
It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.
Diverse Job Opportunities
• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.
• Many students receive multiple interview calls and see a significant boost in career prospects.
• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.
Continuous Career Support
Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.
Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.
How To Apply
select your course, complete the registration form, and make payment.
Submit your application
Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.
Give a selection test
Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.
Reserve your seat
Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!
Payment
Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.
Upcoming Batches
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Frequently Asked Questions
What if I miss a class?
Don’t worry! You will always get a recording for the class in your Learning Management System (LMS) account. Have a look at that and reach out to the faculty in case of doubts. All our live classes are recorded for self-study purpose and future reference, and these can also be accessed through our LMS. Hence, in case you miss a class, you can refer to the video recording and then reach out to the faculty during their doubts clearing time or ask your question at the beginning of the subsequent class.
You can also repeat any class you want in the next one year after your course completion. Batch change policies will, however, apply in this case.
Please note that in case you are not able to complete your course within one year of course validity, due to reasons at your end, limited support might be available post the completion of one year.
What if I share my learning account details with a friend?
The sharing of LMS login credentials is unauthorized, and as a security measure, if the LMS is accessed by multiple places, it will flag in the system and your access to LMS can be terminated.
For how long class recordings and LMS access is available?
LMS and course access are available for one year. If needed, you can also repeat any number of classes you want in the next one year after course completion. Batch change policies will, however, apply in this case.
This is valid for AnalytixLabs content. In the case of co-branded global certification, the general duration of access to partner content is limited to 6 months.
In case required because any genuine reasons, the recordings access can be extended further for upto 1 year post the completion of one-year validity. Please note that given the constant changes in the Analytics industry, our courses continue to be upgraded and hence old courses might no longer hold relevance. Hence, we do not promise lifetime access just for marketing purposes.
Will this AI engineering course cover everything about machine learning, or do I need to opt for a separate ML course (and vice-versa)?
Artificial Intelligence and Machine Learning Courses in India are designed to help you become a pro AI engineer. AI and machine learning go hand-in-hand.
You cannot learn one without the other. Machine Learning is a subset of AI, which means this course will cover concepts like Predictive learning and model building with Python, NLP/NLG, and AI and Cloud Computing. This is just a part of learning ML.
Suppose you want to become a machine learning engineer or explore roles that require you to be an ML expert. In that case, you must know about various ML algorithms, master Excel, understand recommendation systems, and be well-versed in ML libraries. That is only possible when you opt for a machine learning course.
Can I download the recordings?
No. Our recordings can be accessed through your account on LMS or stream them live online at any point in time though.
Recordings are an integral part of AnalytixLabs’ intellectual property by Suo Jure. The downloading/distribution of these recordings in anyway is strictly prohibited and illegal as they are protected under the copyright act. In case a student is found doing the same, it will lead to an immediate and permanent suspension in the services, access to all the learning resources will be blocked, the course fee will be forfeited and the institute will have all the rights to take strict legal action against the individual.
How do I get the course completion certificate?
As part of the course, students get weekly assignments and module-wise case studies. Once all your submissions are received and evaluated well (without any plagiarism), the certificate shall be awarded. Without fairly submissions and evaluation of the assignments and projects so certificate shall be issued.
Please note that in case you are not able to complete the course within the one-year validity, AnalytixLabs might hold a mock interview/viva, apart from your submissions, before issuing the certificate.
Do you provide guaranteed placements?
We offer both Placement Guarantee Programs and Placement Assistance Programs, depending on the course you choose.
1. Placement Guarantee Programs
Available for selected courses, these programs include a Job Guarantee, along with a Minimum Package Assurance and a 50% Fee Refund. If you are unable to secure a qualifying role with the assured minimum annual package within 6 months of certification (subject to meeting all stipulated eligibility criteria), 50% of your course fee will be refunded.
2. Placement Assistance Programs
These programs feature a comprehensive 2-month, industry-focused Placement Readiness Program (PRP). The PRP strengthens both technical and soft skills through structured interview preparation, practice assessments, case studies, simulated recruitment drives, and mock interviews with industry experts—equipping you with the confidence and capability to secure suitable career opportunities.
To check which programs are eligible for the Placement Guarantee and to review the complete Terms & Conditions, please visit: https://www.analytixlabs.co.in/placements/
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