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Machine Learning with Python Online Training

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  • Python-based hands-on learning for machine learning.
  • Above 13559 students trained, and 490+ recruiting clients.
  • Best Curriculum Designed by Python Experts in Industrial Machine Learning.
  • There is always access to the student portal ,videos, and sample MNC interview questions.
  • Presented by a certified expert in machine learning with Python over 13 years of experience.
  • Next Batch Machine Learning with Python to Begin this week – Enroll Your Name Now!

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Learn Our Machine Learning With Python Course:

  • Comprehensive Machine Learning with Python Course tailored for interviews and corporate placements.
  • Ideal for recent graduates (0-3 years experience) with degrees in B. Tech, B.E, and B.Sc. IT or any other computer-related fields.
  • Learn essential Machine Learning concepts and gain hands-on experience with Python libraries suitable for Machine Learning projects.
  • Immerse yourself in real-world applications of Machine Learning to tackle industry challenges effectively.
  • Benefit from experienced trainers and state-of-the-art lab facilities to enhance your practical skills.
  • Earn a recognized Professional Certificate upon completion, with guidance and support for exam preparation.
  • As a one-stop recruiting partner, we connect corporate clients with skilled and productive candidates proficient in Machine Learning with Python.
  • Receive expert guidance and support for Resume & Interview Preparation, empowering you to showcase your Machine Learning proficiency confidently.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

    Machine Learning with Python courses can benefit your career by Providing sought-after skills ,Making you eligible for diverse roles such as
  • Data analyst
  • Machine learning engineer
  • Data scientist
  • Artificial intelligence specialist
Machine Learning with Python courses are worth investing in due to the exponential growth of data-driven industries. Python's popularity in data science and ML domains makes these courses valuable for enhancing career prospects and staying relevant in the job market.
    Types of Machine Learning with Python courses include,
  • Introductory courses for beginners
  • Advanced courses focusing on deep learning
  • Natural language processing
  • Computer vision
  • Reinforcement learning
  • Specialized tracks catering to specific industries or use cases.
  • Machine Learning with Python courses offer a comprehensive understanding of Python libraries and their integration with machine learning algorithms.
  • This knowledge is highly valuable in real-world ML projects, making these courses competitive with other ML certifications.
  • Yes, Machine Learning with Python courses typically include,
  • Hands-on projects and practical exercises
  • Enabling learners to apply the acquired knowledge to real-world datasets
  • Gain valuable experience in solving data-centric problems.
While some courses may assume basic programming knowledge and familiarity with Python, many beginner-level courses start from the fundamentals and do not require any specific prerequisites, making them accessible to learners from diverse backgrounds.
    Completing Machine Learning with Python courses can lead to various job opportunities including roles such as
  • Machine learning engineer
  • Data scientist
  • AI researcher
  • Business intelligence analyst
  • Data analyst across industries such as finance, healthcare, e-commerce, and more.

Can I take Machine Learning with Python courses online or do they require in-person attendance?

You can find Machine Learning with Python courses offered both online and through in-person training sessions. Online platforms provide flexibility in learning at your own pace, while in-person sessions may offer more interactive experiences with instructors.

What are the prerequisites for a Machine Learning with Python course?

While basic knowledge of programming and Python fundamentals is helpful, many courses are designed for beginners and assume no prior experience, making them accessible to individuals with varying levels of expertise.

Who should take a Machine Learning with Python course?

    Machine Learning with Python courses are ideal for
  • Software engineers
  • Data analysts
  • Aspiring data scientists
  • Students pursuing data science-related fields
  • Professionals looking to enter the domain of machine learning and data-driven decision-making.

What is a Machine Learning with Python course?

  • A Machine Learning with Python course is a structured training program that teaches participants how to leverage Python's libraries.
  • Also tools to implement machine learning algorithms, build predictive models, and work with large datasets.
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Machine Learning With Python: A Comprehensive Overview

Our Online Training Course offers an in-depth learning experience for Machine Learning with Python. Machine Learning is a cutting-edge domain of artificial intelligence (AI) that empowers computers to learn and improve their performance without explicit programming. This comprehensive course revolves around creating computer programs that can adapt and evolve as they encounter new data. By combining the power of Python with Machine Learning, participants gain practical knowledge and skills to harness the potential of data-driven decision-making and predictive modeling. From fundamental concepts to advanced algorithms, this course equips learners with the expertise needed to excel in the rapidly growing field of Machine Learning with Python. Join ACTE's Online Training today to unlock the transformative capabilities of this dynamic fusion.


Additional Info

Benefits of Machine Learning with Python:

    Machine learning with Python offers many advantages, making it one of the most popular and widely used languages ​​for developing machine learning models.

  • Ease of use and readability: Python is known for its clear and concise syntax, which makes it easy to read and write. This kind of reading is important in understanding and managing machine learning codes, especially when dealing with complex algorithms and data manipulation.
  • Rich ecosystem of libraries: Python has a large collection of open source libraries and programs dedicated to machine learning, such as scikit-learn, TensorFlow, PyTorch, Keras, etc. These libraries simplify the use of machine learning programs and focus on solving specific problems.
  • Community and support: Python has a large and dynamic team of data scientists, machine learning engineers, and developers. This community provides support through forums, tutorials, and open contributions, making it easy for beginners to learn and experienced users to collaborate.
  • Flexibility and functionality: Python is a versatile language beyond machine learning. This flexibility allows data scientists to connect machine learning to other industries such as data transformation, web development, automation, etc., using the same language.
  • Data manipulation: Python offers powerful libraries such as Pandas, NumPy, and SciPy, which excel at data manipulation, analysis, and preprocessing. These libraries simplify the process of preparing data for machine learning projects.
  • Rapid prototyping: The ease of use of Python and the availability of many libraries allow for rapid prototyping.

The capabilities of Python and Data Science using Machine Learning

Machine learning and Python go hand in hand with data science, and together they enable businesses to draw valuable insights from data and develop predictive models Let’s explore the potential of each and how they complement each other.

  • Data Science Power: Data science is a multidisciplinary field that encompasses methods and techniques for extracting knowledge and insights from data. Here are some of the key capabilities of Data Science.
  • Data collection and preparation: Information scientists collect data from a variety of sources, including databases, APIs, web scraping, etc. The data is then preprocessed and prepared to ensure that it is in a usable format for analysis.
  • Exploratory data analysis (EDA): EDA involves visualizing and understanding data to reveal patterns, trends, and relationships. Data scientists use tools like Pandas, NumPy, and data visualization libraries to extract insights from Data Science.
  • Statistical Analysis: Information scientists use statistical methods to infer assumptions, validate assumptions, and quantify uncertainty in data.
  • Data visualization: Data visualization is essential to effectively present findings and insights to stakeholders. Data scientists use libraries such as Matplotlib, Seaborn, and Plotly to visualize data.
  • Machine Learning Models: Although machine learning is part of data science, data scientists use various ML algorithms to develop predictive models, classification algorithms, clustering and regression models.
  • Processing: Data scientists develop new or modify existing processes to improve the efficiency of machine learning.
  • Model evaluation and selection: Data scientists use various metrics to evaluate the performance of machine learning models and select the best ones.

The Current Possibilities in Machine Learning with Python and Data Science:

    As of my last knowledge update in September 2021, Machine Learning with Python and Data Science had already offered a vast array of possibilities, and the field has only continued to evolve and expand since then. As of 2023, here are some of the current possibilities and advancements in Machine Learning with Python and Data Science: Techniques like Transformer architectures, GANs (Generative Adversarial Networks), and BERT (Bidirectional Encoder Representations from Transformers) have revolutionized natural language processing, computer vision, and other domains.

  • Transfer Learning: Transfer learning has become more prevalent, enabling developers to use pre-trained models for various tasks and domains. This approach helps save computational resources and achieve better performance, especially in scenarios with limited labeled data.
  • AutoML and Model Optimization: Automated Machine Learning (AutoML) tools have gained popularity, making it easier for non-experts to build machine learning models without in-depth knowledge of algorithms and hyperparameter tuning.
  • Responsible AI and Ethical Machine Learning: With increasing awareness of AI's societal impact, there's a growing emphasis on responsible AI and ethical machine learning. Researchers and practitioners are working to develop algorithms and frameworks that are fair, transparent, and unbiased.
  • AI in Healthcare: Machine Learning and Data Science are making significant contributions to healthcare, from early disease detection and personalized treatments to drug discovery and medical image analysis.
  • AI in Finance: The finance industry has adopted machine learning techniques for fraud detection, risk assessment, algorithmic trading, and customer service, among other applications.
  • AI in Natural Language Processing: Natural Language Processing (NLP) has made remarkable strides with advancements in sentiment analysis, language translation, voice recognition, and chatbots.
  • Time Series Forecasting: Machine Learning is increasingly being applied to time series data, enabling accurate forecasting in various domains, such as finance, supply chain management, and weather prediction.
  • Explainable AI: The interpretability of machine learning models has become a focus area. Researchers are developing techniques to make complex models more understandable and transparent to users.
  • Reinforcement Learning in Real-world Applications: Reinforcement Learning has found applications in robotics, autonomous vehicles, recommendation systems, and resource management problems. AI in Edge Computing: Machine Learning models are being deployed on edge devices, reducing the dependency on cloud services and enabling real-time processing in applications like IoT and smart devices.
  • AI and Climate Change: Machine Learning and Data Science are being leveraged to analyze environmental data, monitor climate change, and optimize renewable energy resources.
  • Combination of Data Science and DevOps: The integration of Data Science with DevOps practices is becoming more common, allowing for more streamlined and automated development and deployment of machine learning models.
  • AI in Cybersecurity: Machine Learning is employed for threat detection, anomaly detection, and cybersecurity risk assessment to enhance the security of digital systems.

Python-based Machine Learning Jobs Pay Well and Are in High Demand:

  • Increasing Adoption of AI and ML: Many industries and companies are incorporating AI and ML technologies into their operations to gain a competitive edge, improve efficiency, and make data-driven decisions. As a result, the demand for professionals skilled in Machine Learning with Python has surged.
  • Versatility of Python: Python's ease of use, readability, and rich ecosystem of libraries and frameworks have made it the language of choice for data science and machine learning tasks. Python's versatility allows developers and data scientists to work on various projects, further fueling the demand for Python professionals.
  • Shortage of Skilled Talent: The rapid growth of the field has created a shortage of skilled Machine Learning practitioners, leading to increased demand and competitive salaries.
  • High-Impact Applications: Machine Learning with Python is being applied to critical and high-impact areas such as healthcare, finance, autonomous vehicles, natural language processing, and more. The potential to make significant advancements and contributions in these domains attracts top talent and justifies higher salaries.
  • Data-Driven Decision-Making: Companies are increasingly relying on data-driven decision-making, leading to a higher demand for data scientists and ML engineers who can extract valuable insights from data and build predictive models.
  • Continuous Advancements: The field of Machine Learning is continually evolving, with new algorithms, techniques, and tools emerging. This dynamic nature requires professionals to stay up-to-date with the latest developments, making experienced and knowledgeable practitioners highly valuable.
  • Scalability and Cloud Adoption: The availability of scalable cloud infrastructure and services has facilitated the deployment and maintenance of machine learning models, enabling companies to integrate ML into their products and services, further driving demand for ML with Python expertise.
  • It's important to note that the job market is subject to fluctuations, and demand for specific skills may vary based on regional trends, economic conditions, and technological advancements. However, Machine Learning with Python is expected to remain a highly sought-after skill set in the foreseeable future as the adoption of AI and ML technologies continues to grow across industries.

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Key Features

ACTE Chennai offers Machine Learning with Python 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.
 

Curriculum

Syllabus of Machine Learning with Python Online Training Course
Module 1: Statistical Learning
  • 1. Statistical analysis concepts
  • 2. Descriptive statistics
  • 3. Introduction to probability and Bayes theorem
  • 4. Probability distributions
  • 5. Hypothesis testing & scores
Module 2: Python for Machine Learning
  • 1. Python Overview
  • 2. Pandas for pre-Processing and Exploratory Data Analysis
  • 3. Numpy for Statistical Analysis
  • 4. Matplotlib & Seaborn for Data Visualization
  • 5. Scikit Learn
Module 3: Introuction to Machine Learning
  • 1. Machine Learning Modelling Flow
  • 2. How to treat Data in ML
  • 3. Types of Machine Learning
  • 4. Performance Measures
  • 5. Bias-Variance Trade-Off
  • 6. Overfitting & Underfitting
Module 4: Optimization
  • 1. Maxima and Minima
  • 2. Cost Function
  • 3. Learning Rate
  • 4. Optimization Techniques
Module 5: Supervised Learning
  • 1. Linear Regression
  • 2. Case Study
  • 3. Logistic Regression
  • 4. Case Study
  • 5. KNN Classification
  • 6. Case Study
  • 7. Naive Bayesian classifiers
  • 8. Case Study
  • 9. SVM - Support Vector Machines
  • 10. Case Study
Module 6: UnSupervised Learning
  • 1. Clustering approaches
  • 2. K Means clustering
  • 3. Hierarchical clustering
  • 4. Case Study
Module 7: Ensemble Techniques
  • 1. Decision Trees
  • 2. Case Study
  • 3. Introduction to Ensemble Learning
  • 4. Different Ensemble Learning Techniques
  • 5. Bagging
  • 6. Boosting
  • 7. Random Forests
  • 8. Case Study
  • 9. PCA (Principal Component Analysis) and Its Applications
  • 10. Case Study
Module 8: Recommendation System
  • 1. Introduction to Recommendation Systems
  • 2. Types of Recommendation Techniques
  • 3. Collaborative Filtering
  • 4. Content based Filtering
  • 5. Hybrid RS
  • 6. Performance measurement
  • 7. Case Study
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Hands-on Real Time Machine Learning with Python Projects

Project 1
Uber Data Analysis

The project can be used to perform data visualization on the uber data.

Project 2
MNIST Digit Classification Machine Learning

The MNIST digit classification python project enables machines to recognize handwritten digits.

Gain Our Machine Learning Using Python With Placement:

ACTE provides placement opportunities as an add-on benefit to every student or professional who completes our classroom or online training. Several of our students have secured positions in the following companies:

  • Our institute has partnerships with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, making us capable of placing students in leading MNCs worldwide.
  • We provide separate student portals for placements, where you can access interview schedules and receive email notifications.
  • Upon completing 70% of the Machine Learning Using Python training course, we arrange interview calls and prepare students for face-to-face interactions.
  • Our Machine Learning with Python trainers assist students in creating resumes that align with current industry requirements.
  • We have a dedicated team to support students in securing placements based on their preferences and career aspirations.
  • To assess candidate knowledge and bridge any gaps, we conduct scheduled mock exams and interviews.
  • With a focus on Machine Learning Using Python, we ensure students are well-prepared for job placements and career growth.

Python Machine Learning Tutorial With Certification:

Our certifications hold global recognition and accreditation, endorsed by major companies worldwide. Upon successfully completing our comprehensive theoretical and practical training, which includes Python Machine Learning tutorials, candidates, whether they are freshers or corporate trainees, earn prestigious certifications. These valued credentials enhance their resumes and unlock promising job opportunities in leading MNCs across the globe.
The Machine Learning Using Python Certification is a professional credential that showcases an individual's expertise in applying Python programming language for various machine learning algorithms and data analysis tasks.
  • To get certified in Machine Learning Using Python, you can start by selecting a certification track that aligns with your career goals.
  • Self-study using official Python documentation, online resources, and practical projects, or take advantage of training courses provided by recognized training providers.
  • Finally, register for and pass the certification exam, which assesses your practical knowledge of applying Python in machine learning tasks.
  • Obtaining a Machine Learning Using Python certification offers various advantages. Certified professionals gain industry recognition, making them more appealing to potential employers and clients.
  • Certified individuals are often preferred for roles in data science, machine learning, and AI, providing a competitive edge in the job market.
  • Additionally, the certification allows professionals to network with other experts in the field.
    Machine Learning Using Python certifications cover various skill levels and job roles. Some prominent certifications include Machine Learning with Python Fundamentals: Suitable for beginners, providing a solid foundation in Python and its applications in machine learning.
  • Advanced Machine Learning with Python: Targeted at experienced practitioners, covering advanced ML algorithms and complex projects.
  • Machine Learning Engineer Certification: Designed for professionals who can design, build, and deploy machine learning models using Python and related tools.
  • For Machine Learning Using Python certification preparation, candidates can access official Python documentation and online resources, providing a comprehensive understanding of Python libraries and machine learning algorithms.
  • Hands-on projects and tutorials are valuable for gaining practical experience. Additionally, recognized training providers offer official courses with expert instructors, covering exam objectives and providing real-world insights.
  • Practice exams help assess readiness and identify areas for improvement before taking the certification exam.

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.

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Machine Learning Expert: Mastering Data with Algorithms

  • Our Machine Learning with Python Training is led by certified professionals with over 7 years of domain expertise, currently working in leading MNCs.
  • Trainers utilize their live projects during training sessions, providing practical insights and hands-on experience to students.
  • Our trainers work with esteemed companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.
  • Trainers offer support for candidate placements through Employee Referral and Internal Hiring processes.
  • Our trainers are subject specialists and industry-experts, ensuring the best Machine Learning with Python training experience for students.
  • We have received prestigious awards for our excellence in Machine Learning with Python Training in Chennai from renowned IT organizations.
  • In addition to classroom training, we also offer Machine Learning with Python online training for added flexibility and accessibility.

Machine Learning with Python Course Reviews

Our ACTE Chennai 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.

Hasya

Software Engineer

ACTE is one of the best institutes in Porur for Machine Learning with Python as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning with Python / Data Science/ Artificial Intelligence course I would highly recommend this institute.

Danish

Student

I have great experience with this software training institute because i have done successfully my Machine Learning with Python course with reasonable fees. All trainers are well experienced and qualified... Thank you so much ACTE...

Mugunthan

Machine Learning with Python classes taught by the ACTE classes are excellent. They guided me very well in the project. They have shown the right path for the industry ready. Thankyou very much to ACTE Institute in Velachery.

Pavithra

Student

ACTE is the best place to kick start Machine Learning with Python and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Science using R,Big Data,Machine Learning with Python ,Business Analytics..

Venila

This is good Machine Learning with Python training institute in Chennai.This institute provided training on all latest modules in Machine Learning with Python , Big Data and Data Science Class room and online.Got training on solving real world problems

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Machine Learning with Python Course FAQs

Looking for better Discount Price?

Call now: +9193833 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
ACTE
    • Gives
Certificate
    • 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 Machine Learning with Python 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 Machine Learning with Python Course At ACTE?

  • Machine Learning with Python Course in ACTE is designed & conducted by Machine Learning with Python experts with 10+ years of experience in the Machine Learning with Python 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 Machine Learning with Python batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning with Python . 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 93833 99991 / 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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