Machine Learning Basics
Understand core ML concepts and build predictive models using Scikit-learn
Santhana Lakshmi
Flexilearn Freedom Coach
Mode of Learning
Online
Language
Tamil
Course Duration
One Month
Career Path
Machine Learning Engineer
What You’ll Learn
• What is ML? Types of ML
• Data preparation & train–test split
• Regression & Classification models
• Evaluation metrics (Accuracy, RMSE)
• Saving models with Pickle
• Streamlit integration
Tools You’ll Use
Mini Project
🏠 Mini Project: House Price Predictor
Goal: Train and test a machine learning model to predict house prices using real-world housing features.
🛠️ Tools Used: Python, Pandas, Scikit-learn, Streamlit
Testimonials
“The course made ML concepts so simple! I finally understand regression and classification clearly.”
— Divya R.
“Hands-on model training helped me understand the workflow. Building the house price predictor was my favorite part.”
— Sanjay M.
“Very beginner-friendly teaching. Streamlit deployment was explained so clearly now I can build my own ML apps!”
— Meera S.
Exclusive Bonuses You’ll Get
ML Algorithms Cheatsheet
Quick reference for regression, classification & metrics.
Dataset Pack (10+ Files)
Practice datasets for training, testing & EDA.
Model Training Templates
Scikit-learn code templates for quick ML experiments.
Streamlit App Starter Kit
Build interactive ML apps with ready-made components.
Private ML Support Group
Ask doubts, share models & get ML guidance.
Showcase Your Achievement with Pride
After completing the course and projects, you will receive a professionally designed certificate that you can add to your Resume, LinkedIn, Portfolio, and Job Applications.
- ✔ Your Full Name printed professionally
- ✔ Instructor Signature
- ✔ Unique Certificate ID for verification
- ✔ Shareable PDF (LinkedIn friendly)
- ✔ Recognized by FutureTech Simulation Academy