Introduction

At DSTI Laxmi Nagar, our Machine Learning Course is designed for ambitious learners who want to master predictive algorithms, intelligent automation, and data-driven decision-making. Whether you're a fresher, IT professional, or someone switching careers, this 3–4 month training transforms you into a job-ready Machine Learning Engineer. The curriculum includes Python, supervised & unsupervised algorithms, model tuning, deployment, and hands-on projects, available in both online and offline batches with flexible timings.

Machine Learning Course Modules

  • 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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    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.

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      frequently askedquestion

      Anyone with basic math and logical thinking skills can join. Whether you’re a student, IT professional, engineer, or fresher, our course is designed to teach you from the ground up.

      No, it’s not mandatory to have prior coding experience. We teach Python from scratch, and our beginner-friendly approach ensures even non-programmers can master ML easily.

      The course typically runs for 3 to 6 months, depending on the batch (regular or weekend). It includes theory, practical sessions, and real-world project work.

      Yes. After successful completion, you’ll receive a Machine Learning Certification from our Laxmi Nagar center. This adds value to your resume and career profile.

      Absolutely. We provide placement assistance including job referrals, resume building, interview training, and access to exclusive job openings in tech firms and startups.

      You’ll work on projects like customer churn prediction, product recommendation systems, credit scoring, image classification, and many more. These hands-on tasks help you apply ML in real scenarios.

      Yes. We offer both in-classroom and online batches for students across India. You’ll have access to live sessions, recordings, and full-time mentor support.

      Definitely! Machine learning is one of the fastest-growing career fields. With demand in sectors like healthcare, e-commerce, banking, and automation, ML professionals are highly sought after.

      We focus on practical learning, personalized mentorship, live projects, and job readiness. Our training is more than just videos  it’s interactive, outcome-based, and placement-focused.

      You will work with Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, and Keras — the top tools used by industry professionals for building machine learning models.

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