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Python For Artificial Intelligence, Machine Learning and Data Mining

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data-mining-with-python's Introduction

Python-for-DataMining

Artificial Intelligence, Machine Learning and Data Mining

Course contents

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

data-mining-with-python's People