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Machine Learning

★★★★★ (334 Reviews)

Machine learning course cover algorithms and concepts for enabling computers to learn from data and make decisions without explicit programming.

Duration: 6 Months    100+ Recruitment Partners

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Machine Learning
Skill Level

Beginner

Time to Complete

6 Months

Projects

50+ Projects

Prerequisites

None

About Machine Learning

Our Machine Learning course equips you with the skills to build predictive models using Python, TensorFlow, and Scikit-Learn. Learn data preprocessing, algorithms, deep learning, and model deployment. Gain hands-on experience through real-world projects and become job-ready with expert guidance and career support.

Tools You Will Learn in Machine Learning

COURSE CURRICULUM

Master Skills with Detailed Curriculum

1
Module 1: Introduction to Machine Learning
What is Machine Learning? Supervised vs. Unsupervised Learning Real-world applications of Machine Learning Setting up the development environment (Python, R, Jupyter Notebook, Google Colab)
2
Module 2: Mathematics & Statistics for Machine Learning
Linear Algebra basics (vectors, matrices, eigenvalues) Probability and statistics Hypothesis testing and distributions Gradient descent and optimization techniques
3
Module 3: Data Preprocessing & Feature Engineering
Data cleaning and handling missing values Feature scaling (Normalization & Standardization) Encoding categorical variables Feature selection and dimensionality reduction (PCA, LDA)
4
Module 4: Supervised Learning Algorithms
Linear Regression Logistic Regression Decision Trees & Random Forest Support Vector Machines (SVM) Naive Bayes K-Nearest Neighbors (KNN)
5
Module 5: Unsupervised Learning Algorithms
Clustering techniques (K-Means, DBSCAN, Hierarchical Clustering) Principal Component Analysis (PCA) Association rule learning (Apriori, Eclat)
6
Module 6: Neural Networks & Deep Learning
Introduction to Artificial Neural Networks (ANN) Deep Learning with TensorFlow & Keras Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) & Long Short-Term Memory (LSTM)
7
Module 7: Natural Language Processing (NLP)
Text preprocessing (Tokenization, Lemmatization, Stemming) Sentiment Analysis Named Entity Recognition (NER) Transformers and BERT
8
Module 8: Model Evaluation & Optimization
Performance metrics (Accuracy, Precision, Recall, F1-Score) Cross-validation techniques Hyperparameter tuning (Grid Search, Random Search) Bias-variance tradeoff
9
Module 9: Big Data & Machine Learning
Working with large datasets Machine Learning with Apache Spark (MLlib) Cloud-based ML with AWS, Google Cloud, and Azure
10
Module 10: Real-World Projects & Case Studies
Hands-on projects (predictive analytics, recommendation systems, image classification) Industry case studies Resume building and job interview preparation

Why Get Our Machine Learning Certification

Doubt Clearing Sessions
Assignment Evaluation & Solutions
Industry Experts Trainers
Machine Learning

Machine Learning

Industry Relevant Projects
PW Lab For Your Code Practice
Career Guidance Sessions
Industry Requirement

The technology industry is evolving rapidly, and companies are constantly seeking skilled professionals who can adapt to new tools and frameworks. At Tech Zenn, we understand the critical need for trained developers proficient in the latest technologies like Web Development, Data Science, Machine Learning, Cloud Computing, and more.

Employers demand candidates with hands-on experience, problem-solving skills, and the ability to work on real-world projects. Our training programs are designed to bridge this gap by providing immersive, project-based learning that prepares you for the challenges of the modern IT workplace.

With the growing adoption of automation, AI, and cloud platforms, the demand for certified professionals continues to rise. Tech Zenn equips you with industry-relevant skills, certifications, and mentorship to help you stand out and secure rewarding roles in the competitive job market.

5.0
(17 Reviews)
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Students Reviews

  • Profile picture of Rahul Sharma
    Rahul Sharma

    Tech Zenn’s training helped me crack interviews with confidence. Excellent faculty and hands-on projects!

    August 15, 2025
  • Profile picture of Priya Patel
    Priya Patel

    Great course structure and supportive mentors. Highly recommend for beginners and professionals alike.

    July 10, 2025
  • Profile picture of Amit Verma
    Amit Verma

    The practical approach at Tech Zenn made learning complex topics easy and enjoyable.

    September 2, 2024

Add a Review

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Tech Zenn Instructor

Expert Trainer / Mentor

Tech Zenn instructors bring years of industry experience and practical knowledge to help you master the skills you need for a successful career.

Fast-Track Your Career with Job Assistance Program

Soft Skills Sessions
Aptitude Training
Resume Building Sessions
LinkedIn Profile Building
Mock Interviews
Job Assistance
Machine Learning

How it Works?

Choose a programme of your interest
Receive personal counselling
Complete application & payment
Get certified & qualify for placement
Machine Learning
ELIGIBILITY CRITERIA

Understand the Eligibility Criteria for Course Enrollment

  • B.E./B.Tech – Computer Science, IT, Electronics, Electrical, etc.
  • BSc/MSc – Computer Science, IT
  • BCA/MCA
  • Final Year Students – Graduating in 2023
  • Fresh Graduates – Graduated in 2021/2022
  • Working Professionals – Graduated in 2020

Frequently Asked Questions

A Machine Learning course teaches you how to build predictive models using algorithms, data analysis, and AI techniques to automate decision-making processes.

Anyone interested in Machine Learning can enroll. It is ideal for students, data analysts, software engineers, and professionals looking to switch to AI and ML roles.

Basic knowledge of Python or R is helpful, but beginner-friendly courses start from the fundamentals.

The course primarily uses Python and R for implementing Machine Learning models.

You will learn TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Matplotlib, and cloud platforms like AWS and Google Cloud.

You will learn data preprocessing, model building, supervised and unsupervised learning, deep learning, NLP, and model deployment techniques.

Yes, upon successfully completing the course, you will receive an industry-recognized certification.

Yes, the course includes real-world projects such as fraud detection, recommendation systems, image classification, and NLP applications.

You can enroll through the course provider’s website by filling out the application form and meeting the eligibility requirements.

About Us

At Bsates , we empower students and professionals with industry-ready skills through expert-led training in Web Development, Data Science, Programming, Cloud Computing, Machine Learning, and more. Our mission is to bridge the gap between learning and real-world application, helping you build a successful tech career.

Opening Hours
Mon - Sat (8:00 AM - 6:00 PM) Sunday - Closed

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