Machine Learning using Python

MindScript Android Basic Course


  • Applications of Machine Learning
  • Machine Learning - The Future
  • Help with Installing Application and Environment Setup
  • Recommended Version of Applications

All you need to join the course:

  • Graduate or Under Graduate in any stream
  • Dedication to learn
  • Basic coding skills

Machine Learning using Python - Syllabus

  • Data Preprocessing
  • Acquiring the Dataset
  • Important Libraries
  • Using the Dataset
  • Python – a starter guide
  • Missing Data
  • Categorical Data
  • Splitting the Dataset (in Training set and Test set)
  • Feature Scaling
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Support Vector Regression (SVR)
  • Decision Tree Regression
  • Random Forest Regression
  • Evaluating Regression Models Performance
  • Logistic Regression
  • K-Nearest Neighbors (K-NN)
  • Support Vector Machine (SVM)
  • Kernel SVM
  • Bayes
  • Decision Tree Classification
  • Random Forest Classification
  • Evaluating Classification Models Performance
  • K-Means Clustering
  • Hierarchical Clustering
  • Upper Confidence Bound (UCB)
  • Thompson Sampling
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Kernel PCA

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