Machine Learning (ML)

Master the fundamentals of machine learning, model building, predictions, and data patterns. You’ll work with real datasets and create ML models used in industries — no prior experience needed.

Machine Learning (ML)

Master the fundamentals of machine learning, model building, predictions, and data patterns. You’ll work with real datasets and create ML models used in industries — no prior experience needed.

What you'll learn

Python fundamentals for ML
Data preprocessing & feature engineering
Data preprocessing & feature engineering
Classification, regression, clustering, time-series
Classification, regression, clustering, time-series
Evaluation metrics & model tuning
ML pipelines
Intro to deep learning
Building ML projects from scratch
Real industry datasets & problems

Requirements

No prior experience required
Laptop with internet
Free tools only
Complete installation guidance

Description

This internship prepares you for real Machine Learning Engineer foundations.

You’ll start from understanding data and go up to building ML models like:

Spam Detector
House Price Predictor
Customer Segmentation
Fraud Detection
Sales Forecasting

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:

Python
NumPy, Pandas
Scikit-learn
TensorFlow / PyTorch
Matplotlib, Seaborn

You also learn best ML practices, tuning techniques, and end-to-end workflows used in IT companies.

GRIDSPARK LABS LLP

Technology Research and Innovation center

Disclaimer: Images on this website are AI-generated and used for illustrative purposes.