Delivery Mode

• Online interactive session on zoom

Course Content

• Python essentials
• Introduction to python
• Variables
• Data types
  • Number
  • String
  • List
  • Tuple
  • Dictionary
• Conditional statements
• Looping and control statements
• functions
• Modules and Packages
• Working with text files
• Introduction of Machine learning
  • What is Machine learning
  • Major types of Machine learning
  • Machine learning Packages in Python
• Working on Python Libraries
  • Numpy: working with arrays
  • Pandas: Data analysis tool
  • Matplotlib: Data visualization
• Supervised Learning: Regression
  • Linear Regression
  • Polynomial Regression
  • R-Squared metric
• Supervised Learning: classification
  • Logistic regression
  • Decision Tree
  • Random forest
  • Accuracy score
• Unsupervised Learning: Clustering
  • Dimension Reduction using PCA
  • K-means Clustering
• Projects:
  • Simple Spam-Detecting Machine Learning Classifier
  • House Price Prediction using Regression

Certification

A certificate of completion will be provided to all registered attendees.