Machine Learning Course in Delhi

Python Training Institute offers a hands-on and career-focused Machine Learning Course in Delhi, designed for students, fresh graduates, and professionals who want to step into the world of AI and automation. The course covers everything from the basics of algorithms to real-time project deployment using industry tools.
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Introduction - Machine Learning Course in Delhi

Looking to build a career in AI or data science? Enroll in the Machine Learning Course in Delhi at Python Training Institute and gain in-demand skills with hands-on classroom training. This course is designed for students, working professionals, and anyone looking to understand machine learning from the ground up. At Python Training Institute, we focus on practical learning. The course starts with the basics of Python programming and progresses into key machine learning topics like supervised and unsupervised learning, regression, classification, clustering, and model evaluation. You'll work with real datasets and use libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib to build models and solve real-world problems.

Machine Learning Course in Delhi

  • What is Machine Learning (ML)

  • ML vs Traditional Programming

  • Real-life ML applications

  • Roadmap of ML and its career scope

  • Python basics: variables, loops, functions

  • Data structures (lists, dictionaries, sets)

  • File handling and data input/output

  • Writing efficient and clean Python code

  • Data cleaning and missing values handling

  • Data normalization and standardization

  • Encoding categorical variables

  • Feature scaling, selection, and engineering

  • Mean, median, mode, variance

  • Probability distributions

  • Correlation, regression, and outlier detection

  • Hypothesis testing and statistical inference

  • Linear and Logistic Regression

  • Decision Trees and Random Forest

  • K-Nearest Neighbors (KNN)

  • Naive Bayes, Gradient Boosting

  • Clustering algorithms: K-Means, DBSCAN

  • Dimensionality reduction: PCA, t-SNE

  • Anomaly detection techniques

  • Real-world use cases of unsupervised learning

  • Train-test split, cross-validation

  • Accuracy, precision, recall, F1 score

  • Confusion matrix, ROC-AUC

  • Hyperparameter tuning with GridSearch & RandomSearch

  • What is Deep Learning?

  • Neural network architecture basics

  • Forward and backpropagation concepts

  • Using TensorFlow and Keras (Intro level)

  • Full machine learning project with real dataset

  • Problem definition, data processing, model training

  • Evaluation, optimization, and deployment

  • Project presentation for portfolio use

  • Resume building for ML roles

  • Mock interviews and technical test prep

  • Freelancing and full-time job opportunities

  • Career roadmap in ML and AI

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    Trusted for Python, DataScience, AI & ML

    Thousands trust us for Advanced training in Python, Data Science, Machine Learning, and AI. We deliver proven outcomes through hands-on experience.
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    Why Choose Us

    100% Placement Assistance

    We provide complete job support post-course completion. This includes resume writing, LinkedIn optimization, mock interviews, and direct job referrals. You’ll also get access to our hiring network and ongoing job alerts.

    Hands-On Learning with Projects

    Each module includes real-world exercises and coding challenges. You’ll work on live machine learning projects that showcase your skills to potential employers or freelance clients.

    Doubt Clearing Support

    We conduct weekly and on-demand doubt clearing sessions. You’ll get personalized support on assignments, code issues, and tough concepts, so you stay confident throughout the course.

    Experienced Industry Trainers

    Our instructors are machine learning experts with real-world experience in data science, automation, and AI. They bring practical insights, case studies, and project-based learning into every session.

    Latest Tools & Libraries

    You’ll learn Python, Scikit-learn, Pandas, Matplotlib, NumPy, TensorFlow, Keras, and more. Our tools are aligned with what companies use in real ML environments.

    Industry-Level Projects

    From spam email detection and loan prediction to customer segmentation and recommendation systems—your projects will be based on actual business problems.

    Flexible Batch Timings

    We offer weekday and weekend batches so you can learn at your convenience. Recordings and backup classes are also available if you miss any session.

    Globally Recognized Certification

    On completing the course, you’ll receive a certification from Python Training Institute, which adds value to your CV and boosts your credibility in the job market.

    Top Placements

    Our Process

    Career Counseling

    We begin with a one-on-one counseling session to understand your background and recommend the right batch, tools, and career path based on your goals.

    Attend a Free Demo Class

    You can join a free live session before enrolling. This helps you understand our training quality, teaching method, and course structure firsthand.

    Quick & Easy Enrollment

    Once you enroll, we onboard you with access to course materials, software setup support, and the student dashboard for smooth progress tracking.

    Theory + Hands-on Training

    We combine concept explanation with real-time coding. You’ll write ML models from scratch, tune them, and use libraries like Scikit-learn to optimize your workflow.

    Assignments, Quizzes & Practice

    Every topic has practice exercises, coding tests, and projects. Trainers review your submissions and give direct feedback to help you improve.

    Regular Doubt Clearing

    No topic is skipped. Doubts are cleared through weekly support sessions, direct Q&A, and community groups where you can interact with your batchmates and trainers.

    Job Preparation & Interview Practice

    We help you prepare for ML interviews by conducting mock rounds (technical + HR), aptitude tests, and case-based problem solving sessions.

    Certificate + Placement Support

    You receive a completion certificate and full placement support from our career team. From applying to preparing—you're guided till you secure a job.

    Here's what our learnerssay!

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    JOB PLACEMENT

    How Will You Secure Your First Job?

    Our course covers every tool and concept needed to become job-ready—from regression and classification to clustering, model tuning, and deployment.

    Work on 4–5 full-scale machine learning projects using real datasets. These projects add credibility to your resume and act as proof of work during interviews.

    Get help creating a professional resume that highlights your ML skills. We’ll also help you build a job-focused LinkedIn profile to attract recruiters.

    With mock interviews, technical problem-solving sessions, and real-time scenario training, you’ll be fully ready for technical and HR rounds.

    We connect you with companies hiring for roles like Machine Learning Engineer, Data Analyst, or AI Developer. You get interview opportunities and job alerts regularly.

    Even after your course ends, we continue guiding you with new job updates, project reviews, and expert advice to stay updated in this fast-changing field.

    Honest Reviews, RealInsights

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      frequently askedquestion

      Yes. This course starts from the basics of Python and progresses gradually into ML algorithms, making it ideal for beginners as well as professionals.

      Not necessarily. We teach Python programming from scratch, so even if you’re new to coding, you’ll be able to follow along and build models on your own.

      Both options are available. You can join online classes from anywhere, or choose to attend our offline sessions at the Delhi center.

       Yes. On completing all modules, assignments, and the capstone project, you’ll receive a course completion certificate from Python Training Institute.

      You’ll learn Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, and Keras—tools widely used in industry for ML projects.

      You can apply for roles like Machine Learning Engineer, Junior Data Scientist, AI Engineer, Data Analyst, or ML Research Assistant in IT firms, startups, and MNCs.

      The course typically takes 4 to 5 months, depending on your batch type and pace. Flexible batch timings are available.

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