Data Science

01
Programming
02
Machine Learning
03
Regression
04
Classification

Details

COURSE FEATURES
Course Duration: 12 weeks
Certificate: Yes
Prerequisites: No
Skill Level: Beginner
Course Capacity: 50
Start Date: 16-08-2021
Course Fees: ₹ 8000

Introduction to Programming
  • Introduction to Python
  • Statistics 101
  • Intro to Linux Commands
  • SQL for Analytics
  • How to use Git
Introduction to Machine Learning
  • Introduction to Machine learning
  • Applications of Machine learning
  • Dissecting Machine learning
  • Getting Started with Supervised Learning
  • Introduction to Unsupervised Learning
Regression
  • The idea behind Regression
  • Intuition behind the model
  • Mathematical / Algorithmic working of the model
  • Parameters to tune and control the model.
Regression Techniques
  • Linear Regression
  • Polynomial Regression
  • Lasso Regression
  • Ridge Regression
  • SVM Based Regression
  • Tree Based Regression Techniques
Evaluating Your Model
  • Intro to Regression Model
  • Evaluation RMSE and MAE
  • R Squared
  • Adjusted R Squared
Mini Project-1 based on regression
Classification
  • Idea Behind Classification
  • Intuition behind the classifier
  • Mathematical / Algorithmic working of the classifier
  • Parameters to tune - How to control the classifier
Classification Techniques
  • Logistic Regression
  • Decision Trees
  • SVM
  • Naive Bayes
  • Tree Based Regression Techniques
Evaluating Your Classifiers
  • Intro to Classification
  • Model Evaluation
  • Confusion Matrix
  • Precision and Recall
  • F Score
  • Gain and Lift Chart
  • ROC AUC Curve
  • Understanding the Precision and Recall Tradeoff
Project Work-2 Based on Classification


  Codebucket Lab
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