• Visualizing Data for Regression
• Exploratory data analysis
• Matplotlib, Pandas plotting & Seaborn
• Different chart types:
  • Single axis view of data:
    • Univariate plot types
      • Bar charts
      • Histograms
      • Kernel density estimation (kde) plots
      • Combining histograms and kdes
    • 2-dimensional plot types
      • Scatter plots
      • Dealing with Overplotting
        • transparency
        • Countour plots or 2d density plots
        • Hexbin plots
      • For categorical (non-numeric) variables:
        • Box plots
        • Violin plots
    • Using Aesthetics
      • Marker shape, size and colour
  • Multi-axis views of data
    • Pair-wise scatter plots or scatter plot matrices
    • Conditioned plots, facetted plots or small multiple plots use group-by operations

• Supervised machine learning terminologies
• Classification model
• K-Nearest Neighbor (KNN) algorithm

• Linear Regression
• Cost Function
• Gradient Descent

• Linear Regression
• Cost Function
• Gradient Descent

Unsupervised Learning:

• Clustering algorithms
• Non-clustering algorithms

Supervised Learning:

• Regression Problem
• Classification Problem