Machine Learning from Scratch

• Day 1 (151224)

  • Simple Linear Regression (using scikit-learn and by creating class on my own)
  • Regression Metrics (MSE, MAE, RMSE | R2 Score, Adjusted R2 Score)

• Day 2 (181224)

  • APIs with examples
  • Web Scraping (BeautifulSoup etc)
  • File Handling (csv, json, xml, xlxs)
  • Basic Data Analysis (Diabetes Dataset)

• Day 3 (201224)

  • Basics of Python
  • Condtitional Statements
  • List, Tuple, Set, Dictionary
  • Loops
  • Operators

• Day 4 (241224)

  • Libraries tutorial
  • Matplotlib, Numpy, Pandas, Seaborn

• Day 5 (271224)

  • Use Cases
  • Diabetes prediction
  • Rock Mine Prediction

• Day 6 (291224)

  • Math for Machine Learning
  • Vectors (Operations on Vectors)

• Day 7 (020125)

  • Math for Machine Learning
  • Vectors (Dot Product, Cross Product, Projection of a vector)