What you'll Learn?

  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Learn to use Pandas for Data Analysis
  • Learn to use Seaborn for statistical plots
  • Use SciKit-Learn for Machine Learning Tasks
  • Logistic Regression
  • Random Forest and Decision Trees
  • Neural Networks
  • Use Spark for Big Data Analysis
  • Learn to use NumPy for Numerical Data
  • Learn to use Matplotlib for Python Plotting
  • Use Plotly for interactive dynamic visualizations
  • K-Means Clustering
  • Neural Networks
  • Linear Regression
  • Natural Language Processing and Spam Filters
  • Support Vector Machines

Course content

  • Course Introduction
  • Environment Set-Up
  • Jupyter Overview
  • Python Crash Course
  • Python for Data Analysis - NumPy
  • Python for Data Analysis - Pandas
  • Python for Data Analysis - Pandas Exercises
  • Python for Data Analysis - Matplotlib
  • Python for Data Visualization - Seaborn
  • Python for Data Visualization - Pandas Built-in Data Visualization