• Course Type
    Data Science and AI
  • Pre-requisites
    Basic computer skills.
    No technical background required.
  • Delivery Mode
    Online/Offline
  • Trainer
    HRISHIKESH JADHAO
  • Duration
    2 months (40 hours)
  • Who can enrol?
    ➤ Freshers entering ML
    ➤ Students shifting to AI
    ➤ Working pros upgrading skills
  • Benefits
    ➤ Job-ready ML skills
    ➤ Strong ML portfolio
    ➤ Placement support
    ➤ Certificate

Course Overview

This Machine Learning course teaches supervised, unsupervised, and advanced ML techniques using real datasets. Students learn Python, modelling, evaluation, deployment basics and ML pipelines.

Why Choose Us?

Skills Covered

Syllabus Modules

  1. ●  Module 1: Python Basics for ML
  2. ●  Module 2: Data Preprocessing & EDA
  3. ●  Module 3: Supervised Algorithms
  4. ●  Module 4: Unsupervised Learning
  5. ●  Module 5: Feature Engineering
  6. ●  Module 6: Model Evaluation & Tuning
  7. ●  Module 7: Deployment Concepts
  8. ●  Module 8: Interview Preparation
  9.  

Projects You Will Build

 

  1. ✦ Sales Prediction Model
  2. ✦ Customer Churn Classifier
  3. ✦ Credit Risk Scoring Model
  4. ✦ Customer Segmentation using Clustering

 

Internship & Placement Assistance

Internships available with ML-support projects such as model preparation, data prep, and analytics
tasks. Includes resume building & mock interviews.

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