Learn Python with Machine Learning Course in Hyderabad
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Python with Machine Learning Course in Hyderabad

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  • Beginner & Advanced Level Classes.
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  • Over 12402+ Students Trained,350+ Recruiting Prospects.
  • Affordable Fees and Industrial Expert-designed Curriculum
  • Delivered by a Python Trainer Certified Expert With 9+ Years of Expertise.
  • Python With ML Class Begins Next Week – Enroll Your Name Now!



INR 14000


INR 20000

INR 16000

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08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Get Our Advanced Python with Machine Learning Training

  • Python and Machine Learning Training covers machine learning and Python programming in depth.
  • Python for data processing with machine learning students study grammar, principles, and real-world applications.
  • Logistic regression, SVM neural networks, decision trees, and random forests will be covered in this training.
  • Learners will use these strategies to real-world datasets to increase their understanding and predict outcomes.
  • Python and ML are taught hands-on. These practice sessions improve confidence and expertise.
  • This training may open various career opportunities. Data scientists, machine learning engineers, AI researchers, and business analysts may graduate.
  • Start your career with an Python with Machine Learning certification course that gets you a job up to 17 lakh.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Simplicity and Readability
  • Vast Ecosystem and Libraries
  • Strong Community Support
  • Versatility and Integration
  • Scalability and Performance
  • Python Programming
  • Data Manipulation and Analysis
  • Machine Learning Algorithms and Techniques
  • Model Evaluation and Validation
  • Libraries and Frameworks

There are several reasons why it's a good idea to combine studying Python with machine learning. To begin, Python is a popular programming language that can do a lot of different things and is easy to learn and understand. Its user-friendly interface makes creating machine learning models and algorithms possible for people of all programming expertise levels. Python has a rich ecosystem of tools and frameworks for machine learning, including popular options like TensorFlow, sci-kit-learn, and PyTorch.

  • Introduction to Python
  • Data Manipulation and Analysis
  • Data Visualization
  • Supervised Learning
  • Unsupervised Learning

There are various requirements that are usually assumed while studying Python for machine learning. There aren't any hard requirements, however it helps to have a basic familiarity with programming and maths. Understanding the basics of programming, such as variables, loops, conditionals, and functions, can help you get a better handle of Python. Matrix, vector, derivative, and gradient are all ideas from linear algebra and calculus that can help you better grasp the mathematics behind machine learning algorithms.

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • scikit-learn

Many Python with machine learning courses and programs do, in fact, provide learners with hands-on training with real-world applications of their skills. The goal of these assignments is to help students make the connection between what they've learned in the classroom and how it may be used in the real world. Putting your skills to use in a real-world setting has several advantages. As a first benefit, it gives students real-world training in data pretreatment, model building, and deployment.

What is the scope of Python with Machine Learning in the future?

Python's potential for use in machine learning is very exciting. Python's flexibility and robust machine-learning packages make it a formidable contender as the need for data-driven insights and intelligent systems spreads across sectors. It is anticipated that Python's dominance in machine learning would only increase from where it now stands. Python's rich ecosystem of libraries, including TensorFlow, PyTorch, and sci-kit-learn, guarantees access to a broad variety of resources for building and deploying machine learning models.

Is Python with Machine Learning a good career in India?

The job market for those skilled in Python and machine learning is booming in India right now. From healthcare and banking to e-commerce and industry, the subject of machine learning is seeing rapid expansion and widespread acceptance. Python's ubiquity and flexibility make it the go-to language for machine learning projects, and the language's prominence in the Indian tech sector further boosts its employment possibilities. In order to increase productivity, streamline operations, and spark new ideas, many Indian businesses have begun to use machine learning.

Which industries commonly employ professionals with Python with Machine Learning skills?

  • Technology
  • Finance and Banking
  • Healthcare
  • E-commerce and Retail
  • Manufacturing and Supply Chain

What kind of learning materials are provided in the Python with Machine Learning course?

  • Video Lectures
  • Interactive Coding Exercises
  • Programming Assignments
  • Real-World Projects
  • Quizzes and Assessments
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Overview Of Python With Machine Learning:

Visit W3Schools.com!Training in Python with a focus on machine learning is an intensive course that gives students a firm grounding in both Python and machine learning. As a result of its accessibility, flexibility, and rich library support, Python has become one of the most extensively used languages for machine learning.This course will give you a solid grounding in Python, from the fundamentals all the way up to more advanced topics. Participants will gain an understanding of Python's most essential concepts, including data types, variables, loops, and functions. They will also get practical expertise with important Python libraries for data manipulation, analysis, and visualisation, such as NumPy, Pandas, and Matplotlib.Participants will subsequently be introduced to fundamental machine learning principles and methods.


Additional Info

Career Scope of Python With Machine Learning

Career opportunities in Python and Machine Learning are wide. As the popularity of machine learning algorithms continues to rise, Python has become a go-to language for their implementation.

  • High Demand: Python programmers with machine learning skills are needed in many industries. Employers want data analysts, predictive modelers, and actionable insights to help them make better choices.
  • Machine Learning and Data Scientist Duties: Data science and machine learning are valuable. Python/machine learning. Businesses desire Python specialists who can create and implement machine learning models. Analysts, data scientists, machine learning engineers, and Artificial Intelligence (AI) researchers are included.
  • Industry Applications: IT, finance, medical, retail, manufacturing, advertising, and many more industries may all benefit from Python's Machine Learning capabilities. This flexibility allows specialists to pursue careers in the areas where they feel they can make the most impact in solving challenges.
  • Startups and Innovation: Python coders with machine learning knowledge have plenty of startup jobs. Startups employ machine learning to disrupt markets, improve operations, and develop innovative goods and services. You'll work on innovative, long-term ideas at a startup.
  • Competitive Salaries: The rising demand for professionals skilled in Python and Machine Learning training might lead to significant wages for those who possess these abilities. People that are talented usually get high salaries and several promotions.
  • Continuous Learning and Growth: The rising demand for professionals skilled in Python and Machine Learning course might lead to significant wages for those who possess these abilities. People that are talented usually get high salaries and several promotions.

Python with Machine Learning Roles and Responsibilities :

  • Data Scientists in Python with Machine Learning positions must analyze massive datasets, construct machine learning models using Python tools, and draw conclusions to support data-driven decision making and solve business problems.
  • A Machine Learning Engineer develops, deploys, optimizes, and integrates machine learning models into Python-based production systems and applications. They guarantee scalability, efficiency, and reliability.
  • AI researchers investigate machine learning, develop algorithms, and test novel approaches. Python helps researchers design and test prototypes, collaborate, and advance science.
  • Data analysts use Python packages to clean, transform, analyze, and visualize data. Data analysis and practical recommendations help organizations make better choices.
  • Python-based machine learning frameworks are developed by software engineers. They incorporate machine learning into existing programs and provide APIs to improve system performance.
  • Data scientists, engineers, and others involved in machine learning initiatives report to project managers. Project managers define success, organize resources, set a timeframe, and monitor performance with clients or internal stakeholders.

Trends and Techniques used in Python with Machine Learning :

The use of Python for machine learning is a dynamic area where new developments are being made all the time. Some current current issues and methods in Python-based Machine Learning are as follows:

  • Deep Learning: Deep neural networks like CNNs and RNNs are used for image recognition, natural language processing, and voice recognition.
  • Transfer Learning: Transfer learning involves applying taught models to unrelated situations. Python frameworks like TensorFlow and PyTorch enable model performance on specialised datasets by transferring learnt abilities.
  • AutoML:AutoML is a new area that streamlines ML model selection, training, and optimization. Scikit-learn and Auto-sklearn can automate feature engineering, hyperparameter tuning, and model selection.
  • Explainable AI: Explainable AI tactics and open machine learning models are in demand. SHAP, LIME, and eli5 provide model predictions and characteristic analysis in Python.
  • Reinforcement Learning: Python's machine learning advances have helped reinforcement learning, where an agent learns through experience and observation. OpenAI Gym and Stable Baselines enable training and testing reinforcement learning systems.
  • Federated Learning: Federated learning is a novel method for training machine learning models utilizing distributed data. Python frameworks like TensorFlow Federated make model training on remote devices secure.
  • Natural Language Processing (NLP): Python and machine learning training have advanced NLP. NLTK, spaCy, and transformers provide text categorization, sentiment analysis, named entity identification, and language translation.

Necessities of Python with Machine Learning Training:

  • Python is widely used in machine learning. Python grammar, data types, control structures, functions, object-oriented programming, and machine learning using Python will be covered. Machine learning techniques using Python modules and frameworks need this knowledge.
  • Learning Machine Learning Concepts covers supervised learning, unsupervised learning, regression, classification, clustering, and model assessment Python training using machine learning. These concepts must be understood to design, train, and evaluate Python-based machine learning models.
  • Python has several ML frameworks. Scikit-learn, TensorFlow, PyTorch, and Keras make up PyML training. These libraries include algorithms, data preparation, model evaluation, and visualization tools to build and deploy machine learning models.
  • Python and machine learning training often include real-world projects. These hands-on tasks require machine learning, data preprocessing, and model performance evaluation. Projects help grow your portfolio and skills.
  • Data preparation and feature engineering are crucial to machine learning model preparation. Python for ML teaches you how to scale features, deal with categorical variables, and feature engineer to improve model accuracy. Real-world data analysis requires these skills.
  • Model creation requires hyperparameter modification and evaluation. Python/ML students learn data segmentation, cross-validation, and iterative evaluation. Grid and randomized search maximize model hyperparameters.
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Key Features

ACTE Hyderabad offers Python with Machine Learning Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Python with Machine Learning Course in Hyderabad
Module 1: An Introduction to Python with Machine Learning
  • What can Python with Machine Learning do?
  • Why Python with Machine Learning?
  • Good to know
  • Python with Machine Learning Syntax compared to other programming languages
  • Python with Machine Learning Install
Module 2: Beginning Python with Machine Learning Basics
  • The print statement
  • Comments
  • Python with Machine Learning Data Structures & Data Types
  • String Operations in Python with Machine Learning
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in Python with Machine Learning
Module 3: Python with Machine Learning Program Flow
  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping
Module 4: Functions& Modules
  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentations
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules
Module 5: Exceptions Handling
  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception
Module 6: File Handling
  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement
Module 7: Classes In Python with Machine Learning
  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions
Module 8: Generators and iterators
  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression
Module 9: Data Structures
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
Module 10: Collections
  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString
Module 11: Writing GUIs in Python with Machine Learning
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons
Module 12: Python with Machine Learning SQL Database Access
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • COMMIT & ROLLBACK operation
  • handling Errors
Module 13: Network Programming
  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
Module 14: Date and Time
  • sleep
  • Program execution time
  • more methods on date/time
Module 15: Few more topics in-detailed
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections
Module 16: Regular expression
  • Split
  • Working with special charLearnoVitars, date, emails
  • Quantifiers
  • Match and find all
  • charLearnoVitar sequence and substitute
  • Search method
Module 17: Threads ESSENTIAL
  • Class and threads
  • Multi-threading
  • Synchronization
  • Treads Life cycle
  • use cases
Module 18: Accessing
  • Introduction
  • Facebook Messenger
  • Openweather
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Hands-on Real Time Python with Machine Learning Projects

Project 1
Social Media

This Project is use to learn how Facebook, instagram, linkedin use machine learning technology on there websites.

Project 2
TensorFlow Project

TensorFlow is one of the best and popular machines learning open source projects.

Python with Machine Learning Training With Placements:

Our expert placement staff helps learners get interviews with well-known companies by guiding them through the resume-writing and interview processes.

  • Our graduates have found successful employment with global powerhouses like Wipro, Accenture, CTS, Siemens, and Dell.
  • Our training program will begin preparing learners for interviews with international organizations via phone and in person after they have finished 75% of the Python with Machine Learning course.
  • To make sure you get the help that is prepared for your specific need, we provide one-on-one tutoring.
  • Documentation of our dedication to learner achievement and the training program's effectiveness in fulfilling industry requirements is our long track record of successful placement.
  • Candidates' skills and expertise are developed via Mock Tests and Interviews, which simulate actual workplace settings.
  • Our Python with Machine Learning course equips learners with the knowledge, abilities, and resources necessary to enter and excel in a variety of Python with Machine Learning careers.

Get a Recognised Python Machine Learning Certification

Enrolling in one of ACTE's Python with Machine Learning Courses might provide you with the marketable abilities employers need. You'll have an advantage in the job market if you've had hands-on expertise with Python and Machine Learning. Your earned certification will set you apart from other candidates and testify to your experience working on real-world projects, both of which are very valuable. ACTE is an excellent solution for students who wish to succeed in the Python with Machine Learning sector due to its adaptable curriculum and comprehensive placement services. To start a career in Python and Machine Learning, enroll immediately in a certificate program in Hyderabad.

  • Validation of Skills
  • Industry Recognition
  • Competitive Edge
  • Enhanced Job Opportunities
  • Career Advancement

Python with Machine Learning courses that lead to certification may be appropriate for beginners. There are a number of certification programs available, and many of them are designed with beginners in mind, so that even people with no prior expertise in programming or machine learning may benefit from them. Although familiarity with programming fundamentals and some arithmetic is helpful for those taking certification courses in Python with Machine Learning, they are not required.

  • Python Programming
  • Machine Learning Concepts
  • Data Preprocessing and Feature Engineering
  • Python Libraries and Frameworks
  • Model Development and Evaluation

The prerequisites for achieving Python with Machine Learning certification may differ based on the course or program you enroll in. Generally, there are no strict prerequisites for entry-level certificates makes them available for applicants from a wide range of backgrounds and experience levels.

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Data Analyst
  • Research Scientist

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

Learn Python with Machine Learning from Our Experts:

  • Our Python with Machine Learning instructors goes over a lot of ground, from the basics all the way to more advanced methods.
  • Learn Python with Machine Learning Course in Hyderabad hands-on way with ACTE's experts by participating in real-world projects, case studies, and activities.
  • Our Python with Machine Learning app development teachers must know Swift, Objective-C, design patterns, best practices, frameworks, tools, and libraries.
  • Our faculty members' professional backgrounds include stints at major IT firms like Dell, Infosys, IBM, L&T InfoTech, TCS, and more.
  • Our expert trainers will offer a secure and supportive classroom environment to discuss your problems.
  • Trainers here are experts at simplifying complex ideas in Python and Machine Learning so that learners may grasp them.

Python with Machine Learning Course Reviews

Our ACTE Hyderabad Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



Very good place for learning machine learning with python. I took training, They provided very good training to me. I strongly recommend ACTE is best for this course.

Habbeba Begam

Software Engineer

I had completed my Python with Machine Learning course at Hyderabad. ACTE is the best place to improve your skills and to move forward in your career. The trainers and faculty here were very friendly and comfortable. My trainer had explained the concept as well as the subject in clear way. Topics are not skipped and trainer ensures that you understand the topic. Thanks to my trainer and ACTE for this wonderful opportunity!


Software Engineer

ACTE Institute is one of the best classroom training institute for Python with Machine Learning in Hyderabad. Excellent hand holding from expert and professional trainers having sound knowledge. Worth your money.


ACTE is one best python with machine learning institute in Tambaram.The Machine learning course is very comprehensive and the faculty does a great job to teaching and resolving doubts. The good part is that one gets to understand dashboards and strategy on live projects.

Aswini R


I completed my Python with Machine Learning training in ACTE. Really an amazing place to start off. Learned a lot in such a short span of time. The faculty is experienced and management is pretty good.Thank you so much team in Anna nagar.

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Python with Machine Learning Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Python with Machine Learning training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE 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.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Python with Machine Learning Course At ACTE?

  • Python with Machine Learning Course in ACTE is designed & conducted by Python with Machine Learning experts with 10+ years of experience in the Python with Machine Learning domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Python with Machine Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Python with Machine Learning. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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