Machine Learning

Machine Learning using Python

Contents

• Data Processing

  • Splitting Data Splitting Data into Training and Testing Data

• Techniques

  • K Fold Cross Validation Technique to compare different machine learning models

• Linear Regression

  • Home Price SVR Single Variable Linear Regression Model Using Home Price and Area
  • Home Price MVR Multi-Variable Linear Regression Model Using Home Price, Area, Age and Bedrooms
  • Home Price OHE Linear Regression Model Using Home Loction, Price and Area with One Hot Encoding Method
  • Fish Multi-Variable Linear Regression Model Using Fish Species Data

• Logistic Regression

  • Digit Prediction Multi-Class Logistic Regression Using SciKit Learn Digits Dataset
  • Education Logistic Regression Model Using Education API Data
  • Insurance Prediction Logistic Regression Model Using Insurance Data

• Decision Tree

  • Salary Predictor Decision Tree Model Using Salary Data

• Support Vector Machine (SVM)

  • Flower Predictor SVM Classification Model Using SciKit Learn Iris Flower Dataset
  • COVID-19 Mortality Rate SVM Regression Model Using COVID-19 Dataset

• Random Forest

  • Digit Prediction Random Forest Model Using SciKit Learn Digits Dataset
  • Stroke Prediction Random Forest Model Using Kaggle Stroke Dataset

• K Means Clustering

  • Income Prediction K Means Clustering Model Using Income Dataset

• Naive Bayes

  • Titanic Survival Prediction Gaussian Naive Bayes Model Using Titanic Dataset
  • Spam Prediction Multinomial Naive Bayes Model Using Spam Email Dataset

• Grid Search

  • Flower Prediction Grid Search Model Using SciKit Learn Iris Flower Datasee

• Time Series

  • Stock Prediction Time Series Model Using SBI Historical Data

• Deep Learning

  • Sign Language Digits Prediction Deep Learning Model Using Kaggle Sign Language Digits Dataset
  • Handwritten Digits Classification Deep Learning Model Using Keras Handwritten Digits Dataset