Artificial Intelligence
Machine Learning
Next batch is coming soon!
- 4.721 students
- Last updated 25/7/2023
Descriptions
The SmartED Machine Learning Internship Program is a structured, project-based journey from beginner Python to advanced neural networks and deployment. Tailored for students and early professionals, it blends theoretical knowledge with practical implementation using tools like Scikit-learn, TensorFlow, and real-world datasets.
You’ll work on multiple capstone projects across domains like image classification, customer churn prediction, sentiment analysis, and time series forecasting. By the end of this program, you’ll not only understand machine learning algorithms but also know how to apply, evaluate, and deploy them effectively.
Key Points
- Fusce himenaeos imperdiet sodales aptent dictum ex volutpat
- Consequat elementum ornare ligula viverra libero
- Ullamcorper nam habitant blandit finibus dis tempus gravida
- Deep Learning & Neural Networks
- Natural Language Processing (NLP)
- Model Deployment & Ethics
Course Lessons
- Topics: Syntax, variables, functions, control structures, data structures
- Capstone: Build a simple calculator or text-based game
- Homework: Create a basic to-do list or calculator with error handling
- Topics: NumPy, pandas, data cleaning, visualization with Matplotlib & Seaborn
- Capstone: EDA and cleaning on a public dataset
- Homework: Generate plots for a retail dataset
- Topics: ML types, train-test split, cross-validation, Scikit-learn basics
- Capstone: EDA and preprocessing for an ML task
- Homework: Prepare dataset for supervised learning
- Topics: Regression, classification, evaluation metrics
- Capstone: Predict house prices or tumor classification
- Homework: Evaluate model performance using precision, recall, F1
- Topics: Random Forest, SVM, KNN, overfitting, regularization
- Capstone: Predict telecom customer churn
- Homework: Use Random Forest with hyperparameter tuning
- Topics: K-means, DBSCAN, PCA, association rules
- Capstone: Customer segmentation for retail
- Homework: Apply PCA and visualize clusters
- Topics: Activation functions, backpropagation, TensorFlow/Keras
- Capstone: Digit recognition with MNIST
- Homework: Create and train a neural net using Keras
- Topics: Convolution, pooling, image classification
- Capstone: Build a facial recognition system
- Homework: Use CNNs for classifying animals
- Topics: Tokenization, TF-IDF, word embeddings, sentiment analysis
- Capstone: Sentiment analysis on movie reviews
- Homework: Build a spam classifier
- Topics: RNNs, LSTMs, time series forecasting
- Capstone: Stock price prediction
- Homework: Forecast temperature using time series data
- Topics: Q-learning, environments, rewards
- Capstone: Train agent to play a simple game
- Homework: Simulate agent’s learning over episodes
- Topics: Bias, privacy, fairness, explainability
- Capstone: Analyze bias in a credit scoring model
- Homework: Apply SHAP or LIME to explain predictions
- Topics: AutoML, XAI, transfer learning, federated learning
- Capstone: Literature review on any trend
- Homework: Build a model using AutoML (e.g., AutoSklearn)
Projects
- Objective:
Build & deploy a full-featured ML-powered platform for a retail business.
- Requirements:
Customer churn prediction, Product recommendation using association rules, Sentiment analysis from customer reviews, Customer segmentation using clustering, Dashboard visualization (Streamlit/Flask), Live cloud deployment (AWS/GCP) with API documentation
- Teamwork:
Group project with version control (Git), API endpoints, and a live team presentation showcasing the ML lifecycle from problem to deployment
Instructor
Machine Learning Engineer
This course includes:
- 45+ hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Free Webinar
- Certificate of completion
After the final task and according to the results
After the final task and according to the results
Government Certified
Earn NSDC Certification
Benefits of NSDC Certification:
- Government-Recognized Credential
- Industry-Accepted Validation
- Enhanced Employability
- Added Value for Higher Education & International Opportunities
- Alignment with Skill India Mission
- National Skill Registry Entry
Hear it From Them
Ambitious People ❤️ SmartEd
