Course Content
1. Introduction to Data Science with Python
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1.1 Introduction
1.2 Core Python
1.3 Functions and File Handling
1.4 Debugging and Bug Fixing
1.5 Numpy
1.6 Pandas
1.7 Data Visualization – Matplotlib
1.8 Data Visualization – Seaborn 
1.9 Data Visualization – Plotly and cufflinks
1.10 Data Visualization – Geographical Plotting, Folium and Bokeh
1.11 Machine Learning– Using Python
Data Science for Python
About Lesson
  • Linear and Logistic Regression using Python
  • K Nearest Neighbour
  • Random Forest and Decision Tree
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