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WhatsApp your nearest Branch
Chat with Pitampura : 8287299204
Chat with Laxmi Nagar : 8287299204
Chat with Rajouri Garden : 9319608182
Chat with South Extension : 9810735296

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Pitampura : 9540127373
Laxmi Nagar : 9540127878
Rajouri Garden : 9810735296
South Extension : 9810735296

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Pitampura : 9540127373
Laxmi Nagar : 9540127878
Rajouri Garden : 9810735296
South Extension : 9810735296

Machine Learning Institute

Google Rating of Oxford Software Institute for Machine Learning Course

4.3

Why Choose Us

Choose Oxford Software Institute for Career-Focused Machine Learning Course

Job-Oriented Curriculum - Designed for real-world AI and ML roles.

Hands-On Training - Work on supervised & unsupervised ML projects.

Coding with Python - ML implementation using NumPy, Pandas, Sklearn.

AI Fundamentals Included - Learn basics of AI and intelligent systems.

Expert Trainers - Professionals with practical machine learning experience.

Recognised Institute - NSDC Certified with 4 branches in Delhi and ISO approval.

Exclusive Benefits of Our Machine Learning Classes

Real Tools, Real Learning

Learn by working with real tools in our Machine Learning Course

You’ll write Python code to implement regression, classification, and clustering. Projects include data analysis, prediction models, and intelligent decision-making.

Bridge AI with ML Concepts

Learn AI & ML foundation, logic, automation, and ML basics in our Machine Learning Course

Our ai and ml courses cover the AI foundation before diving into core ML algorithms. You’ll learn logic-based AI, automation basics, and intelligent machine behaviors alongside data-driven modeling.

Machine Intelligence Course Structure

Introduction to AI & Machine Intelligence

AI vs ML, history, applications, machine behavior, use cases.

Python for Machine Learning

Data types, control flow, functions, libraries (NumPy, Pandas, Matplotlib).

Supervised & Unsupervised Learning

Linear/logistic regression, decision trees, KNN, SVM, clustering, evaluation metrics.

Model Evaluation & Project Work

Model accuracy, confusion matrix, data preprocessing, project execution.

Contact Us

QUICK ENQUIRY

We're happy to help you on your journey towards a brighter career.

South Extension (South Delhi)

9810735296

Rajouri Garden .... (West Delhi)

9319608182

Pitampura ........... (North Delhi)

9540127373

Laxmi Nagar ......... (East Delhi)

9540127878

Python Programming Syllabus with AI Integration

Explore the AI-powered, industry-focused modules included in our comprehensive python programming course.

Module 1: Introduction to Machine Learning

What is Machine Learning?

Types of ML: Supervised, Unsupervised, Reinforcement

Applications of ML in real life

ML vs AI vs Deep Learning

Module 2: Python for Machine Learning

Python basics (variables, loops, functions, etc.)

NumPy and Pandas for data manipulation

Data visualization with Matplotlib & Seaborn

Introduction to Jupyter Notebook

Module 3: Data Preprocessing

Handling missing data and outliers

Encoding categorical variables

Feature scaling (Standardization, Normalization)

Data splitting: Train/Test split, Cross-validation

Module 4: Supervised Learning – Regression

Simple Linear Regression

Multiple Linear Regression

Polynomial Regression

Evaluation metrics (MAE, MSE, RMSE, R² Score)

Module 5: Supervised Learning – Classification

Logistic Regression

k-Nearest Neighbors (KNN)

Support Vector Machines (SVM)

Decision Trees & Random Forest

Evaluation: Confusion Matrix, Precision, Recall, F1 Score, ROC-AUC

Module 6: Unsupervised Learning

Clustering: K-Means, Hierarchical, DBSCAN

Dimensionality Reduction: PCA, t-SNE

Association Rule Mining: Apriori, ECLAT

Module 7: Ensemble Learning

Bagging: Random Forest

Boosting: AdaBoost, Gradient Boosting, XGBoost, LightGBM

Stacking & Voting Classifiers

Module 8: Introduction to Neural Networks & Deep Learning

Basics of Neural Networks

Forward and Backward Propagation

Activation Functions (ReLU, Sigmoid, etc.)

Building a Neural Network with TensorFlow/Keras

Module 9: Model Tuning & Optimization

Bias-variance tradeoff

Cross-validation (K-Fold, Stratified)

Hyperparameter Tuning (Grid Search, Random Search)

Feature Importance & Model Interpretation

Module 10: Real-World Projects

Project 1: House Price Prediction (Regression)

Project 2: Customer Churn Prediction (Classification)

Project 3: Market Basket Analysis (Association Rules)

Project 4: Image or Sentiment Classification (Deep Learning)

Names of the Top Companies Where Our Star Alumni Are Working

Best AI & Machine Learning Institute –
Build Logic, Code Smart, Learn Practically

Key Highlights of Computer Classes at Oxford Software Institute

Highlights of Machine Learning Course

4-Month Practical AI and ML Course

Training with Python, NumPy, Pandas, Scikit-Learn

Covers Supervised, Unsupervised, and Basic AI Concepts

Affordable Fees and Flexible Batch Options

Four Metro-Connected Centres Across Delhi

Real ML Projects with Dataset Handling & Reports

Certified Faculty with Live Project Experience

NSDC Partner with Placement Assistance

Who Can Join Machine Learning Classes at Oxford Software Institute

Who Can Join Our AI & Machine Learning Course?

Anyone interested in data, coding, and automation can join. This course is suitable for those with basic programming knowledge or Python familiarity.

Ideal for:-

BCA / BSc / BTech Students

Job Aspirants in Data Science or AI

Working Professionals

Developers Expanding into AI-ML

Career Switchers into Tech Roles

Course Outcome – What You Will Learn

This artificial intelligence and machine learning course equips you to design, implement, and evaluate ML models using Python and core libraries. You’ll understand supervised and unsupervised algorithms, build predictive models, and complete real-world projects—preparing for roles in AI, automation, and data analytics.