• Working with data in M.L.
• Semisupervised Learning
• Reinforcement Learning
  • Q learning

• Definition of Machine Learning
• Why use Machine Learning
• Machine Learning Use Cases
• Types of learning algorithms

• Measures of Central Tendency
  • mean, mode, median
• Measures of Distribution and Density
  • min, max
• Skewness and Kurtosis
  • df[col].skew( )
  • df[col].kurt( )
• Measures of Variance
  • Range
  • Percentiles and Quartiles
  • Outliers
  • Variance and Standard Deviation
  • Z Score
• Summarizing Data Distribution in Python
  • .describe( )

Mothership News Crawler

Web Scraping

Web Scraping with Requests and BeautifulSoup
Resources for Requests and BeautifulSoup

Titanic

Exploratory Data Analysis