/Data-Mining-with-Python

Python For Artificial Intelligence, Machine Learning and Data Mining

Primary LanguageJupyter Notebook

Python-for-DataMining

Artificial Intelligence, Machine Learning and Data Mining

Course contents

  1. Language-Python/R : Basics, Variables, DataType(Tuple, List,Set, Dictionary), User Inputs
  2. Language-Python/R : Control Statement, Function & lambda, Array
  3. Language-Python/R : Miscellanious Topics - (Advanced Topic) i.e.: map(), list comprehension, zip(), enumerate(), lambda, iterator
  4. Language-Python/R : Python OOP, Files, Built in Functions, User Defined Modules
  5. Language-Python/R : Modules - Numpy, SciPy, Pandas
  6. Data Visualizatio : Matplotlib, Seaborn modules, Plotly etc.
  7. Statistical Analysis : Central Tendency, Dispersion & Outlier Detection of Data
  8. Data Preprocessing : Data Cleaning, Handling Missing Values, Outlier Detection with numpy, pandas, seaborn, sklearn, TensofFlow, Keras etc
  9. Feature Engineering : LabelEncoding, OneHotEncoding, PCA
  10. Supervised ML : Classification - Cross Validation, Ensemble Learning and ROC Curve
  11. Unsupervised ML : Clustering Analysis and PCA
  12. Unsupervised ML : Associatuin Analysis
  13. PBL1 and PBL2 :Project Based Learning - Heart/Diabetics Disease Prediction, Breast Cancer detection with ANN