Machine Learning Course in Gurgaon
Artificial intelligence and data-driven technologies have quickly gained in popularity among students and professionals seeking careers in artificial intelligence and data sciences. A Machine Learning course equips learners with skills they’ll need for creating predictive models, automating decision-making processes and solving complex business issues using data. Many institutes in Gurgaon offer industry-align programs designed to meet current and future AI job market requirements.
- English
- English, Hindi
Upcoming Batch Weekdays!!!
Starting from Upcoming Weekend!
09:00 am – 1:00 pm Weekends
Fully Interactive Classroom Training
- 90 Hours Online Classroom Sessions
- 11 Module 04 Projects 5 MCQ Test
- 6 Months Complete Access
- Access on Mobile and laptop
- Certificate of completion
65,000 Students Enrolled
What we will learn
- Intelligence & Machine Learning
- Python for Machine Learning
- Data Preprocessing
- Supervised Algorithm
- Unsupervised Learning Algorithms
- Model Evaluation and Optimization
- Ensemble Learning Techniques
- Deep Learning Technologies (DLTs)
- Model Deployment Fundamentals
What all topics we will cover in Machine Learning Course in Gurgaon Palin Analytics
At our Machine Learning course in Gurgaon, you will gain a solid grounding in building, evaluating, and deploying machine learning models. Starting from basic Python data manipulation skills and handling then progressing through advanced ML algorithms such as model tuning for real world applications.
Who Can Go for a Machine Learning Course in Gurgaon
Our Machine Learning course in Gurgaon is ideal for students, engineering graduates, working professionals, data analysts, software developers, and aspiring AI professionals. An understanding of mathematics, statistics and programming concepts may prove useful; however fundamentals will be covered from scratch.
Want to Discuss Your Roadmap to Become a Machine Learning Engineer in Gurgaon?
Are You Exploring Paths to Becoming a Machine Learning Engineer in Gurgaon?
Do You Wish to Discuss Steps on Your Roadmap for Becoming a Machine Learning Engineer in Gurgaon? Assuming so, or are You exploring entering into or transitioning your career into Machine Learning/AI fields?
Our experts help you create a tailored roadmap–from skill development and project-based learning, certifications, career guidance, and interview preparation–that can lead to success in Machine Learning.
Advantages
Countless Batch Access
Industry Expret Trainers
Shareable Certificate
Learn from anywhere
Career Transition Guidance
Real-Time Projects
Industry Endorsed Curriculum
Interview Preparation Techniques
Class recordings
Course Mentor
Kushal Dwivedi
- 10 + Batches
- 4.8 Star Rating
- 859 Students Trained
- 450+ Successfully Placed
Hi, I’m Kushal Dwivedi, and I’m excited that you’re here.
Professionally, I am a Data Engineering mentor with strong industry exposure and hands-on experience in building scalable data solutions. I have successfully delivered 10+ batches and trained 859+ students, helping them understand data engineering concepts from fundamentals to advanced levels. With a 4.8-star rating and 450+ successful placements, I focus on practical learning, real-time tools, and industry use cases. In this course, you’ll learn how I combine real-world experience with structured, step-by-step teaching to help you build job-ready data engineering skills.
Machine Learning Course Content
- Definition of Machine Learning
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
- Applications of Machine Learning
- Overview of the Machine Learning Workflow
- Linear Algebra Concepts
- Calculus Basics
- Probability and Statistics for Machine Learning
- Linear Regression
- Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- k-Nearest Neighbors (k-NN)
- Model Evaluation Metrics (Accuracy, Precision, Recall, F1 Score)
- Cross-Validation
- Hyperparameter Tuning Techniques
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Association Rule Learning
- Basics of Neural Networks
- Perceptron and Multilayer Perceptron
- Backpropagation Algorithm
- Introduction to Deep Learning
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transfer Learning
- Text Preprocessing
- Bag of Words Model
- Word Embeddings (e.g., Word2Vec, GloVe)
- Sentiment Analysis
- Image Processing Basics
- Convolutional Neural Networks for Image Classification
- Object Detection
- What is machine learning
- Different stages of ML project
- Supervised vs Unsupervised ML
- Algorithms in Supervised and Unsupervised learning
- Introduction to Sklearn
- Data preprocessing
- Scaling techniques
- Training /testing / validation datasets
- Feature Engineering
- How to deal with Categorical Variables – Dummy variables
- Categorical embedding
- Basics of Reinforcement Learning
- Markov Decision Processes
- Q-Learning and Deep Q Networks (DQN)
- Model Deployment Strategies
- Integration with Web Applications
- Model Monitoring and Maintenance
- Bias and Fairness in Machine Learning
- Ethical Considerations in AI
- Responsible AI Practices
What Our Students Say About Us
Data Analytcs Demo classes in Palin Analytics Gurgaon
Palin Analytics in Gurgaon is a premier analytics and AI training institute dedicated to filling the void between academic knowledge and industry needs. Through hands-on instruction, live projects and expert mentorship, Palin Analytics equips learners for successful careers in Machine Learning and Artificial Intelligence.
FAQ's
Machine Learning careers offer high payoff due to strong demand and specialized skills. Professionals with expertise in Python programming language, Machine Learning algorithms and real project experience often command higher salaries compared to more traditional IT roles.
Entry and mid-level positions often pay between Rs6-15 LPA. As experience, AI expertise, and exposure to large scale ML deployments increase, so will their salaries.
A good institute for machine learning should offer an industry-align curriculum, hands-on projects, experienced trainers and career support services. Institutes that focus on real world problem-solving and interview preparation provide better job readiness.
course should cover Python, statistics, machine learning algorithms, deep learning fundamentals, real-time projects and hands-on implementation techniques. Such hybrid courses will likely prove the most successful.
AI professionals often earn slightly more at senior levels due to their greater system-level expertise, while Machine Learning engineers who possess strong model building and deployment abilities may have salaries comparable to top AI roles.