Course

Introduction 16

• Lecture1.1
  Introduction to Python and its basics 03 hour
• Lecture1.2
  Data Analysis in Python – Numpy and Pandas 03 hour
• Lecture1.3
  Data Visualization in Python – Matplotlib and Seaborn 03 hour
• Lecture1.4
  Introduction to Machine Learning and Linear Regression 03 hour
• Lecture1.5
  Logistic Regression 03 hour
• Lecture1.6
  K Nearest Neighbors 03 hour
• Lecture1.7
  Decision Trees and Random Forests 03 hour
• Lecture1.8
  Support Vector Machines 03 hour
• Lecture1.9
  K Means Clustering 03 hour
• Lecture1.10
  Principal Component Analysis 03 hour
• Lecture1.11
  Recommender Systems 03 hour
• Lecture1.12
  Natural Language Processing 03 hour
• Lecture1.13
  Big Data and Spark with Python 03 hour
• Lecture1.14
  Neural Nets and Deep Learning and Capstone Project 03 hour
• Lecture1.15
  Visual Analytics with Tableau 03 hour
• Lecture1.16
  Dashboards and Story points in Advance Tableau 03 hour